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Job Description:
Overview:
We don't simply hire employees. We invest in them. When you work at Chatham, we empower you - offering professional development opportunities to help you grow in your career, no matter if you've been here for five months or 15 years. Chatham has worked hard to create a distinct work environment that values people, teamwork, integrity, and client service. You will have immediate opportunities to partner with talented subject matter experts, work on complex projects, and contribute to the value Chatham delivers every day.
We seek to enhance our Controls and Data Integrity team with a role specializing in data quality for interest rate, currency, and commodity transactions. The role is part of our global central operations group charged with ensuring the accuracy and reliability of Chatham's transaction, market, and valuation data.
In this role you will:
The purpose of the role is to ensure all transaction details are in Chatham's systems accurately and as agreed upon at execution. Data entry errors can have significant consequences to the economics of the transaction or to their accounting treatment, and it is therefore critical that team members understand transaction-related market conventions, payments, and valuations. This role will provide support for transactions executed by Chatham's real estate, private equity, corporate, and financial institutions sectors. We expect primary responsibilities to include:
- Transaction and data review
- Work as part of the larger team to check the data entry on transactions as they are executed
- Verify calculation amounts and build payment schedules
- Develop an understanding of the underlying transactions in order to identify loading errors
- Check daily control reports to monitor unusual movements in transaction valuations and market data
- Assist with data clean-up related transaction data and Client Relationship Management (CRM) software
- Communicate and coordinate across other internal teams and with clients
- Interact with sector team members to verify/clarify data, as needed
- Work with internal models, analytics, and technology teams to resolve issues
- Play an active role in liaising between the business and technical teams
- Check and send out monthly valuation reports to clients
- Develop and share subject matter expertise
- Take part in the training of new Chatham employees on sector teams
- Serve as an integral member of ad hoc project teams to improve processes, solve problems, and provide insight from a data quality perspective
- Develop SQL skills and help create database queries
- The role may also include opportunities to contribute to the team in other capacities as interests and team needs align.
Your impact:
Our team works in partnership with Chatham's sector advisory teams and clients to help them efficiently navigate the data quality, operational, and regulatory compliance aspects of a transaction. We strive to continually improve the workflows we are responsible for and have the chance to do so by implementing process changes and/or leveraging supporting technology. Team members play a crucial role in these process improvements and serve as subject matter experts, providing regular training and resources for all Chatham teams.
Contributors to your success:
- 2 years of experience working in operations or data quality may be beneficial but is not required
- An interest in data quality, data management, and process improvement
- Comfort with basic math skills and use of Microsoft Excel
- High level of attention to detail, accuracy, and organization
- Ability to multitask and independently prioritize workload
- Strong verbal and written communication skills
- Ability to work extra/non-standard hours around month- and quarter-ends (and other special cases) to support critical business processes
- Experience with VBA and SQL are beneficial, but not necessary
We seek individuals that will thrive in our culture and can make a significant impact over the long term. Most of our team members do not come to Chatham with a deep understanding of derivatives; therefore, we conduct classroom and apprentice-style training. We look for people who have consistently demonstrated drive, determination, and academic/professional accomplishment throughout their lives. We invest a great deal of time and training with our employees and we are looking for individuals who want to make a long-term commitment to the company.
About Chatham Financial:
Chatham Financial is the largest independent financial risk management advisory and technology firm. A leader in debt and derivative solutions, Chatham provides clients with access to in-depth knowledge, innovative tools, and an incomparable team of over 700 employees to help mitigate risks associated with interest rate, foreign currency, and commodity exposures. Founded in 1991, Chatham serves more than 3,500 companies across a wide range of industries - handling over $1 trillion in transaction volume annually and helping businesses maximize their value in the capital markets, every day. To learn more, .
Chatham Financial is an equal opportunity employer.
Salary range:
The UC academic salary scales set the minimum pay at appointment. See the following table for the current salary scale for this position: . The current full-time salary range for this position is $70,977-$199,722. Placement on the scale is commensurate with college teaching experience.
Percent time:
15% to 100%
Anticipated start:
Positions usually start in July or August for Fall, January for Spring and June for Summer.
Review timeline:
Applications will be accepted and reviewed for unit needs through January 2027. Applications are typically considered in April and May for fall course needs, in September and October for spring course needs, and February and March for summer course needs. The pool will close January 2027; applicants wishing to remain in the pool after that time will need to submit a new application.
Application Window
Open date: June 9, 2025
Most recent review date: Tuesday, Jun 24, 2025 at 11:59pm (Pacific Time)
Applications received after this date will be reviewed by the search committee if the position has not yet been filled.
Final date: Tuesday, Jan 12, 2027 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
Position description
Data Science Undergraduate Studies (DSUS) at the University of California, Berkeley invites applications for a pool of qualified temporary lecturers to teach DSUS courses should an opening arise. Screening of applicants is ongoing and will continue as needed. The number of positions varies from semester to semester (fall, spring and summer sessions), depending on the needs of the unit.
About DSUS
Data Science Undergraduate Studies (DSUS) offers a range of academic, co-curricular, and enrichment programs-including the Data Science major and minor-with a wide-reaching impact both across UC Berkeley and beyond.
Designed in collaboration with faculty from across Berkeley, Data Science invests students with deep technical knowledge, expertise in how to apply that knowledge in a field of their choosing, and an understanding of the social and human contexts and ethical implications of how data are collected, analyzed, and used. This combination positions graduates to help inform and develop solutions to a range of pressing challenges, from adapting industry to a new world of data to amplifying learning in education to helping communities recover from disaster.
DSUS is part of the College of Computing, Data Science, and Society (CDSS), which strives to develop, implement, and share high-quality, ethics-oriented, and accessible curricula, educating a diverse student body in data science, computing, and statistics. Core to the college is an understanding of how computing and data science affect equality, equity, and opportunity-and the capacity to respond to social challenges.
DSUS is committed to hiring and developing staff who want to work in a high performing culture that reflects the outstanding work of our faculty and students. DSUS seeks candidates who can support the success of all students through inclusive curriculum, classroom environment, and pedagogy.
Responsibilities
DSUS is seeking outstanding instructors to be appointed in the non-Senate Lecturer title series who can teach small and large courses in several areas. We are particularly interested in instructors who can combine computational and inferential thinking in a way that reflects the new field of Data Science Education.
Core courses include:
Fundamentals of Data Science
Principle and Techniques of Data Science
Human Contexts and Ethics of Data
Data and Justice
Data, Inference, and Decisions
Honors Thesis Seminar
Connector Courses: Instructors may be hired to teach Connector Courses that connect Foundations of Data Science with other disciplines, such as neuroscience, legal studies, public health, demography, English or others. Connector courses allow students to apply theoretical concepts from data science to a particular area of interest. Course design and syllabus will leverage the sequence of computational and statistical techniques that students learn in the Foundations course.
Teaching a Data Science course may include holding office hours, assign grades, advise students, prepare course materials (e.g., syllabus), provide clear and prompt feedback on student work, and maintain the course website.
Please note: The use of a lecturer pool does not guarantee that an open position exists. See the review date specified in AP Recruit to learn whether the unit is currently reviewing applications for a specific position. If there is no future review date specified, your application may not be considered at this time.
Department: dsus
Division:
Qualifications
Basic qualifications (required at time of application)
Must have an advanced degree or be enrolled in an advanced degree program at the time of application.
Additional qualifications (required at time of start)
Advanced degree. Candidates must already be authorized to work in the United States.
Preferred qualifications
A Ph.D. or equivalent international degree in computer science, statistics, information, applied mathematics, engineering, or the social sciences is preferred.
Ability to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.
Application Requirements
Document requirements
Curriculum Vitae - Your most recently updated C.V.
Cover Letter
Statement of Teaching - Please discuss prior teaching experience, teaching approach, and future teaching interests. This can include, for example, specific efforts, accomplishments, and future plans to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.
Reference requirements
- 3-4 required (contact information only)
Apply link:
JPF04958
Help contact:
About UC Berkeley
UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.
The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.
In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.
As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.
As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.
- "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
- UC Sexual Violence and Sexual Harassment Policy
- UC Anti-Discrimination Policy
- APM - 035: Affirmative Action and Nondiscrimination in Employment
Job location
Berkeley, CA
Position Summary
Perform a variety of routine and complex skilled and technical work in the maintenance of a Geographic Information System (GIS) relating to the Public Works Computerized Maintenance Management System (CMMS) and asset management program. Act as the primary contact for Public Works CMMS data stewardship. Apply GIS technology to provide GIS and CMMS data related technical support. Perform research, analysis, design and creation of data and applications for use in the Geographic Information System. These tasks are illustrative only and may include other related duties.
Full-time 40 hours per week
AFSCME-represented position
12-month probationary period
Must meet all qualifications and requirements as listed in the position description.
Essential Duties
Collects, inputs, edits, and verifies spatial data from a variety of internal and external data inputs. Integrates associated attribute data. Manipulates, models, and analyzes spatial data in the geographic information system. Documents data entry and related procedures.
Maintains Public Works GIS datasets and mapping system. Applies GIS technology to produce and perform advanced data entry and manipulation, produces documentation, and performs spatial analysis. Develops and runs spatial queries and produces reports.
Modifies and maintains CMMS data to support asset data analysis. Collaborates with Asset Management staff and Public Works supervisors to assist in program development by gathering information for assets and other new and old data and information needed to allow the asset data system to function effectively; creates new codes for the above areas mentioned and when necessary modifies asset characteristics and descriptions.
Coordinates with Public Works program supervisors to efficiently and accurately enter data into the system. Collects and enters asset data into the CMMS and related databases from various sources including direct field investigation; documents such as as-built drawings, invoices, and O&M manuals.
Generates standard and ad-hoc reports using the standard report structure of the asset data system, and other end user reporting tools, provides information for the preparation and distribution of periodic standard location and equipment reports to support maintenance teams and management requests.
Performs quality control checks of asset data to ensure the accuracy of all data within the system.
Provides implementation and ongoing operational support for GIS/CMMS and GIS/CMMS users.
Provides system and data troubleshooting. Collaborates with IT to resolve system or data issues.
Develops programs, procedures, and applications using GIS and related software tools.
Applies software such as, CAD, database, spreadsheet, word processing, communications, graphics and web publishing software to the production and delivery of GIS related products.
Provides daily user support including routine troubleshooting and system and data maintenance for asset data analysis, working closely with Information Technology to evaluate responsibility for addressing specific requests.
Provides technical assistance and guidance to users of GIS products. Performs departmental-focused project management. Meets with GIS users to define project requirements and set priorities.
Participates on interdepartmental teams and committees for GIS and CMMS projects. Contributes to work group GIS software design projects. Maintains an understanding of the ESRI product portfolio and provides guidance for Public Works' use of available tools.
Operates printers, copiers and large-format plotters, and has ability to load large rolls of paper into plotters.
Acts ethically and honestly; applies ethical standards of behavior to daily work activities and interactions. Builds confidence in the City through own actions.
Conforms with all safety rules and performs work is a safe manner.
Delivers excellent customer service to diverse audiences. Maintains positive customer service demeanor and delivers service in a respectful and patient manner.
Maintains effective work relationships.
Arrives to work, meetings, and other work-related functions on time and maintains regular job attendance.
Complies will all Administrative Policies. Performs work in accordance with Council Policies and Municipal Code sections applicable to position.
Qualifications and Skills
Education and Experience
High School diploma or equivalent. Four years of professional experience in designing, supporting and implementing GIS applications. A post-secondary degree in GIS or closely related field may substitute for up to 4 years of experience.
Strong computer background in GIS software, Computer Aided Drafting software, related third party GIS software applications, database management systems software and windows based operating systems.
Municipal experience is desired.
Knowledge, Skills and Abilities
General knowledge of the principles, theories and methods of database concepts, structures, and programming logic; and the various types, classes, uses, and interrelationships of assets within a typical municipal Public Works department.
Advanced skills in use of GIS and CMMS related software in a production environment.
Ability to program in GIS, relational and spatial database, and web languages is desired.
Good oral and written communication skills; ability to communicate technical information to a non-technical audience, ability to research, interpret and summarize data.
Ability to prioritize multiple projects from numerous customers.
Knowledge of cartographic principles, spatial analysis techniques, and data management practices.
Ability to research and recommend new methods, equipment, or programs to better accomplish tasks.
Ability to travel among City worksites.
Special Requirements
Ability to pass a pre-employment background and/or criminal history check
Demonstrable commitment to sustainability.
Demonstrable commitment to promoting and enhancing equity, diversity and inclusion.
The individual shall not pose a direct threat to the health or safety of the individual or others in the workplace.
How to Apply
Qualified applicants must submit an online application located on the City of Corvallis website (click on "Apply" above).
Resumes will not be accepted in lieu of a completed online application. Incomplete applications will not be accepted/considered.
Position is open until filled.
First review of applications will occur after 8:00 am on February 4, 2026
*Please do not include personal or protected information in attached resumes or cover letters, this includes your birth date, age, dates of education, and graduation dates.*
LocationAtlanta, Georgia
Full/Part TimeFull-Time
Regular/TemporaryRegular
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About Us
Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with numerous economic and cultural strengths. The Institute serves more than 45,000 students through top-ranked undergraduate, graduate, and executive programs in engineering, computing, science, business, design, and liberal arts. Georgia Tech's faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security. Georgia Tech ranks among the nation's top 20 universities for research and development spending and No. 1 among institutions without a medical school.Georgia Tech's Mission and Values
Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do:
1. Students are our top priority.
2. We strive for excellence.
3. We thrive on diversity.
4. We celebrate collaboration.
5. We champion innovation.
6. We safeguard freedom of inquiry and expression.
7. We nurture the wellbeing of our community.
8. We act ethically.
9. We are responsible stewards.
Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact.
Job Summary
The Manager of Data is responsible for overseeing the collection, management, and analysis of institutional data to support decision-making and strategic planning. This role involves leading a team of data analysts and ensuring data integrity, security, and compliance with relevant regulations. Additionally, the manager collaborates with various departments to develop data governance policies and implement effective data management practices that enhance the institution's ability to leverage data for improved outcomes.
Responsibilities
Job Duty 1 -
Oversee the development and implementation of data management strategies to ensure the accurate collection, storage, and retrieval of institutional data.
Job Duty 9 -
Collaborate with academic and administrative departments to identify data needs and develop solutions that enhance data accessibility and usability.
Job Duty 10 -
Perform other duties as assigned.
Job Duty 2 -
Lead a team of data analysts in conducting data analysis and reporting to support institutional decision-making and strategic initiatives.
Job Duty 3 -
Establish and enforce data governance policies to ensure data quality, integrity, and compliance with relevant regulations and standards.
Job Duty 4 -
Monitor data management systems and tools, ensuring they are maintained, updated, and aligned with best practices in data security and privacy.
Job Duty 5 -
Provide training and support to staff on data management practices, tools, and analytical techniques to foster a data-driven culture within the institution.
Job Duty 6 -
Conduct regular audits of data processes and systems to identify areas for improvement and implement corrective actions as needed.
Job Duty 7 -
Prepare and present comprehensive reports on data trends, analysis findings, and management initiatives to senior leadership and relevant stakeholders.
Job Duty 8 -
Stay informed about emerging data management technologies and methodologies to continually enhance the institution's data management capabilities.
Required Qualifications
Educational Requirements
Bachelor's degree in related discipline or equivalent, related experience.
Required Experience
5+ years of relevant experience; 3+ years of supervisory knowledge.
Preferred Qualifications
Preferred Educational Qualifications
Master's degree in related discipline or equivalent, related experience.
- Master's degree in Computer Science, Information Technology, Information System, Data Science, Business Administration, related discipline or equivalent, related experience.
- Certified Data Management Professional certification.
- Experience designing, implementing and operating Security Information Management solutions such as SIMS or ThreatSwitch.
- Advanced knowledge of SQL, database design and data modeling expertise.
- Experience in managing and securing enterprise security database systems containing sensitive and regulated data.
- Experience in cross-departmental collaboration during security investigations, assessments, and compliance reviews.
USG Core Values
The University System of Georgia is comprised of our 25 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at policymanual/section8/C224/#p8.2.18_personnel_conduct.
Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at policymanual/section6/C2653.
Equal Employment Opportunity
The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The Institute is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and Institute policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities.
Equal opportunity and decisions based on merit are fundamental values of the University System of Georgia ("USG") and Georgia Tech. Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of an individual's race, ethnicity, ancestry, color, religion, sex (including pregnancy), national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment, except where such restrictions are required in order to comply with law, regulation, executive order, or Attorney General directive, or where they are required by Federal, State, or local government contract.
Other Information
This is a supervisory position.This position does not have any financial responsibilities.This position will have some driving.This role is considered a position of trust.This position does not require a purchasing card (P-Card).This position will have some traveling.This position does not require security clearance or ability to obtain one.This position is located in Atlanta, GASalary range is dependent on candidates experiences and skills that ranges from $109,136 - $159,284.You must be a US citizen to be considered for this role.
Other Information
The Georgia Tech Research Institute (GTRI) is the nonprofit, applied research division of the Georgia Institute of Technology (Georgia Tech). This position is in the Research Security Department (RS) of GTRI.
Background Check
Successful candidate must be able to pass a background check. Please visit employment/pre-employment-screening
Salary range:
The starting, full-time equivalent annual salary rate is currently $140,169. Appointments are typically for one to three sections per term, up to three terms per year, resulting in total compensation of approximately $8,181 per section at 17% FTE per academic term, as of Summer 2025. This salary rate will increase in subsequent terms in accordance with the terms of the labor contract.
Percent time:
Percent time 10% to 100% time
Anticipated start:
Positions typically start in January, May, and August.
Review timeline:
Applicants are considered for positions as needs arise; the existence of this pool does not guarantee that a position is available.
Position duration:
Initial position duration is for up to one year, with the possibility for renewal. Appointments may be renewed based on need, funding, and performance.
Application Window
Open date: March 4, 2026
Next review date: Thursday, Mar 19, 2026 at 11:59pm (Pacific Time)
Apply by this date to ensure full consideration by the committee.
Final date: Thursday, Mar 4, 2027 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
Position description
The School of Information at the University of California, Berkeley, invites applications for a pool of part-time, non-tenure track lecturers to teach online courses in the Master of Information and Data Science (MIDS) program. We seek exceptional instructors with professional and/or academic expertise who can lead small, highly interactive sections of around 17 graduate students in this innovative, online program.
Courses in the MIDS program are pre-designed and structured, allowing instructors to focus on delivering dynamic and engaging learning experiences while providing valuable expertise to enhance student outcomes. Screening of applicants is ongoing and will continue as the program's needs evolve. The number of available positions may vary by semester based on the School's requirements.
Please Note:
Applicants must be authorized to work in the United States at the time of hire. Visa sponsorship is not available for this position.
About The I School
The Berkeley School of Information (I School) is a global bellwether in a world awash in information and data, boldly leading the way with education and fundamental research that translates into new knowledge, practices, policies, and solutions. I School scholars and practitioners thrive in the intersections where people, organizations, and societies interact with information, technology, and data. The faculty comprises a mix of disciplines, including information, computer science, economics, political science, law, sociology, design, media studies, and more.
The I School offers three professional master's degrees and an academic doctoral degree. The MIMS program trains students for careers as information professionals and emphasizes small classes and project-based learning. The online MIDS program trains data scientists to manage and analyze the coming onslaught of big data in a unique high-touch online degree. The online MICS program prepares cybersecurity leaders with the technical skills and contextual knowledge necessary to develop solutions for complex cybersecurity challenges. The Ph.D. program equips scholars to develop solutions and shape policies that influence how people seek, use, and share information. Our cohorts and classes are small enough to support intense student engagement, and we encourage collaboration among the students, faculty, and staff in the I School community. Our alumni have careers in diverse fields, such as data science, user experience design and research, product management, engineering, information policy, cybersecurity, and more.
We are committed to attracting outstanding instructors from academia and industry who bring diverse perspectives and experiences to the virtual classroom. Whether your expertise lies in groundbreaking research, innovative industry applications, or both, we value professionals who can bridge theory and practice. Successful lecturers inspire graduate students by integrating real-world applications with deeper theoretical exploration, fostering critical discussions of historical and emerging trends, and preparing students to make an impact in the rapidly evolving field of data science.
If you are an enthusiastic educator or practitioner passionate about shaping the next generation of data science leaders, we encourage you to join our exceptional instructional team.
The instructor role is an exciting opportunity to contribute to the success of graduate students in cutting-edge online MIDS master's programs at UC Berkeley's School of Information.
Responsibilities Include:
Delivering Engaging Online Classes: Plan and lead synchronous sessions that emphasize active learning. Facilitate meaningful discussions, collaborative group activities, and practical exercises that enhance students' understanding and application of core concepts.
Facilitating Student-Centered Learning: Provide personalized support to students by holding virtual office hours, moderating online discussions, and leveraging student analytics to identify and support individual learning needs.
Designing and Refining Course Materials: Develop and update instructional materials, assignments, and assessments. Ensure all content aligns with program objectives, maintains academic rigor, and incorporates an inclusive and equitable learning environment.
Providing Constructive Feedback: Deliver timely, actionable feedback on student assignments and projects to promote growth and mastery of key competencies.
Maintaining Course Operations: Use the learning management system (LMS) and other educational technology tools to manage course websites, post assignments, and communicate with students effectively.
Collaborating with Faculty Teams: Actively participate in course meetings to align instructional practices, address challenges, and share innovative teaching strategies. Attend monthly or bi-monthly faculty meetings to stay connected with program goals, initiatives, and effective online teaching pedagogy.
Advancing Online Pedagogy: Engage in faculty development programs to stay current on the latest research, tools, and practices for effective online teaching. Share insights to enhance the overall learning experience.
Promoting Inclusion: Foster an inclusive, equitable learning environment that respects diverse perspectives and supports all students in achieving their academic and professional goals.
Please note:
The use of a lecturer pool does not guarantee that an open position exists. See the review date in AP Recruit to learn whether the school is reviewing applications for a specific position. If no future review date is specified, your application may not be considered at this time.
UC Berkeley has several policies and programs to support all employees as they balance work and family.
Program:
Policies and Programs to Support All Employees: support-faculty/family-responsive-policies-benefits-programs-and-resources
Course Descriptions: courses/datasci
Qualifications
Basic qualifications (required at time of application)
A bachelor's degree (or equivalent international degree).
Additional qualifications (required at time of start)
Minimum 4 years of professional experience in the relevant field.
Minimum 2 years of experience in teaching in higher education or professional development in relevant fields. Professional development instructional activities would include leading workshops, delivering executive education, providing corporate training, or offering industry-recognized certification programs.
Preferred qualifications
An advanced degree in Data Science, Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, Economics, or related field.
10 + years of professional experience in fields such as Data Science, Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, Economics, or related fields.
Multiple years of demonstrated excellence in teaching college-level courses, including experience with online instruction.
Familiarity with and use of collaborative learning techniques and student-centered methods of instruction.
Proven organizational skills and ability to complete assignments timely and accurately with minimal supervision.
Possess excellent communication skills, both oral and written, and the ability to communicate effectively with students with a wide range of skills.
Possess excellent interpersonal, customer service, and problem-solving skills. Ability to work well with students, faculty, and staff. Demonstrated strength or potential in teaching at the college level.
Demonstrated ability to support the academic, professional, and personal development of a diverse community through inclusive curriculum, classroom environment, and pedagogy in a multidisciplinary environment.
Teaching or in-depth knowledge and experience in at least one of the following core areas (please see course descriptions):
- Applied Cloud Computing for Data Science
- Applied Machine Learning
- Applied Statistics(R)
- Capstone Projects - real-world projects and industry collaboration
- Computer Vision
- Data Visualization and Communication
- Deep Learning and Neural Networks
- Edge and IoT Data Science
- Experiments and Causal Inference
- Fundamentals of Data Engineering
- Generative AI
- Introduction to Data Science Programming (Python)
- Leadership in Data-Driven Transformation
- Machine Learning at Scale
- Machine Learning Systems Engineering
- Natural Language Processing with Deep Learning
- Privacy, Security, and Ethics in Data Science
- Regression and Time Series Analysis
- Research Design and Data Analysis
- Scalable Data Mining and Analysis
- Statistical Methods for Discrete Response, Time Series, & Panel Data
- Special Topics such as: AI for Sustainability, Autonomous Systems and Robotics, Data, Human-Centered Data Science, Spatial Data Science, Time-Series Analysis and Forecasting
Application Requirements
Document requirements
Curriculum Vitae - Your most recently updated C.V.
Cover Letter
Statement of Teaching Interests/Experience/Approach - Applicants must submit a brief statement outlining their teaching philosophy, experience, and methods. This can include, for example, fostering student success, connecting theory to practice, advancing an inclusive learning environment for all students, facilitating student-centered learning, or providing practical exercises that enhance students' understanding and application of core concepts. The statement should clearly describe the format, audience, and scope of teaching or professional development experience.
The statement should highlight areas of expertise and any experience with online or technology-enhanced teaching.
Please indicate which class(es) you believe you are qualified to teach.
Teaching Evaluations, if available (Optional)
Reference requirements
- 3 required (contact information only)
Apply link:
JPF05270
Help contact:
About UC Berkeley
UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.
The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.
In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.
As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.
As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.
- "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
- UC Sexual Violence and Sexual Harassment Policy
- UC Anti-Discrimination Policy
- APM - 035: Affirmative Action and Nondiscrimination in Employment
Job location
Berkeley, CA, or remote (US-based).
Position title:
Non-Senate
Salary range:
The UC postdoc salary scales set the minimum pay determined by experience level at appointment. See the following table(s) for the current salary scale(s) for this position: . A reasonable estimate for this position is $69,073 - $74,281.
Percent time:
100%
Anticipated start:
As soon as March 2, 2026. Exact start date negotiable.
Position duration:
Two year appointments
Application Window
Open date: February 24, 2026
Next review date: Wednesday, Mar 11, 2026 at 11:59pm (Pacific Time)
Apply by this date to ensure full consideration by the committee.
Final date: Friday, Mar 27, 2026 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
Position description
This postdoctoral opportunity brings together faculty from UC Berkeley's School of Education (BSE); the College of Computing, Data Science, and Society (CDSS); and the Social Science D-Lab to support one (1) postdoctoral scholar as they study the teaching and learning of Data Science. Scholars will apprentice with multiple projects to develop and contribute expertise and scholarship in ethical data science teaching and learning across precollege, 2-year college, and 4-year university contexts. A major goal is to prepare scholars who are conversant across sectors, in order to help create coherent and supportive data science learning trajectories for all students.
We seek applicants with complementary relevant skill-sets and training in data science and education. This includes applicants with different educational backgrounds (e.g. research, regional, or liberal arts colleges; technical and community colleges), methodologies (e.g. qualitative and quantitative approaches to social sciences research), and experiences related to teaching or educational research (e.g. tutoring, teaching, curriculum development). We hope scholars will all share commitments to contributing high-quality, ethical Data Science Education teaching, curriculum, and scholarship. Applicants must be authorized to work in the United States at the time of hire. Visa sponsorship is not available for this positon.
The program will prepare postdoctoral scholars for a variety of careers such as entering Discipline-Based Education Research or the Scholarship of Teaching and Learning of Data Science as research or teaching faculty at a range of colleges and universities; working for non-academic organizations that design, develop, and study curricula, resources, and teacher learning for Data Science Education; or working with school districts or university systems to support student readiness, success, interest/confidence and career awareness in data science.
Duties of Position:
Year 1: Researchers will work with specialists among the faculty in Computer Science, Data-Intensive Social Science, Education, and Statistics in research rotations across departments; attend monthly workshops designed to develop the knowledge base required to conduct consequential research in this field; and become integral members of a growing community of practice at UC Berkeley and across the SF Bay Area.
Year 2: Researchers will engage with a year-long apprenticeship with a faculty mentor and will develop an independent project within the context of one of the many educational initiatives led by project personnel. Fellows will have the opportunity to teach workshops in Python/Jupyter, social science methodology, data literacy pedagogies, or data science curriculum development, and they may also teach undergraduate courses in Data Science/Statistics or STEM teacher preparation, no more than one course per year in the lecturer title. They will present their independent work at campus colloquia and will engage the broader Data Science Education field through scholarly conferences, technical workshops, and UC Berkeley's annual Data Science Education convening.
Department:
Qualifications
Basic qualifications (required at time of application)
Doctoral degree (or equivalent international degree), or enrolled in a Doctoral or equivalent international degree program at the time of application.
Additional qualifications (required at time of start)
Doctoral degree (or equivalent international degree). No more than three years of post-degree research experience by start date.
Preferred qualifications
*Knowledge of Python, Jupyter, R/RStudio, and/or other common statistical computing tools and languages.
*Teaching or tutoring experience at K-12, community college, and/or university levels.
*Experience with a variety of educational institutions (e.g. regional, or liberal arts colleges; 2-year colleges; high schools; informal learning environments).
Application Requirements
Document requirements
Curriculum Vitae - Your most recently updated C.V.
Letter of interest - One page long, detailing professional goals and aspirations for research given what they know of the opportunity
Reference requirements
- 2 required (contact information only)
References will only be contacted for those candidates under serious consideration. Letters of support should speak to the candidate's strengths with respect to both disciplinary experience (e.g. in Data Science, Computer Science, Statistics, and/or related fields) and experience in educational research and/or practice (e.g., as a tutor, curriculum developer, or related to academic studies in Education, Learning Sciences, Cognitive Science, Educational Psychology, or related fields).
Apply link:
JPF05274
Help contact:
About UC Berkeley
UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.
The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.
In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.
As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.
As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.
- "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
- UC Sexual Violence and Sexual Harassment Policy
- UC Anti-Discrimination Policy
- APM - 035: Affirmative Action and Nondiscrimination in Employment
Job location
Berkeley, California
Embark on a transformative journey as our Sr. Domain Expert Lead, where intellectual rigor meets technological innovation. As a Sr. Domain Expert Lead, you will blend your advanced analytical skills and domain expertise to provide strategic oversight to our human-in-the-loop and model-in-the-loop data pipelines. You will also provide mentorship and guidance to junior team members. Your responsibilities will ensure data excellence through strategic oversight of high-quality data output, while delivering expert consultation throughout the pipeline and fostering iterative development. This position directly impacts the effectiveness and reliability of our AI solutions by maintaining the highest standards of data quality throughout the development process while building capability within the broader team.
Key job responsibilities
• Serve as a trusted domain advisor to cross-functional teams, providing strategic direction and specialized problem-solving support
• Champion domain knowledge sharing across multiple channels and teams to maintain data quality excellence and standardization
• Drive collaborative efforts with science teams to optimize output of complex data collections in your domain expertise, ensuring data excellence through iterative feedback loops
• Foster team excellence through mentorship and motivation of peers and junior team members
• Make informed decisions on behalf of our customers, ensuring that selected code meets industry standards, best practices, and specific client needs
• Collaborate with AI teams to innovate model-in-the-loop and human-in-the-loop approaches, to ensure the collection of high-quality data, safeguarding data privacy and security for LLM training, and more.
• Stay abreast of the latest developments in how LLMs and GenAI can be applied to your area of expertise to ensure our evaluations remain cutting-edge.
• Develop and write demonstrations to illustrate "what good data looks like" in terms of meeting benchmarks for quality and efficiency
• Provide detailed feedback and explanations for your evaluations, helping to refine and improve the LLM's understanding and output
- 2+ years of data scientist experience
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- 1+ years of guiding and coaching a group of researchers experience
- 1+ years of working with or evaluating AI systems experience
- 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience
- Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)
- Experience applying theoretical models in an applied environment- Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)
- Knowledge of machine learning concepts and their application to reasoning and problem-solving
- Experience in Python, Perl, or another scripting language
- Experience in a ML or data scientist role with a large technology company
- Experience in defining and creating benchmarks for assessing GenAI model performance
- Experience working on multi-team, cross-disciplinary projects
- Experience applying quantitative analysis to solve business problems and making data-driven business decisions
- Experience effectively communicating complex concepts through written and verbal communication
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at , MA, Boston - 136, ,000.00 USD annually
USA, WA, BELLEVUE - 136, ,000.00 USD annually
At MVP Health Care, we're on a mission to create a healthier future for everyone. That means embracing innovation, championing equity, and continuously improving how we serve our communities. Our team is powered by people who are curious, humble, and committed to making a difference-every interaction, every day. We've been putting people first for over 40 years, offering high-quality health plans across New York and Vermont and partnering with forward-thinking organizations to deliver more personalized, equitable, and accessible care. As a not-for-profit, we invest in what matters most: our customers, our communities, and our team.
What's in it for you:
- Growth opportunities to uplevel your career
- A people-centric culture embracing and celebrating diverse perspectives, backgrounds, and experiences within our team
- Competitive compensation and comprehensive benefits focused on well-being
- An opportunity to shape the future of health care by joining a team recognized as a Best Place to Work For in the NY Capital District, one of the Best Companies to Work For in New York, and an Inclusive Workplace.
You'll contribute to our humble pursuit of excellence by bringing curiosity to spark innovation, humility to collaborate as a team, and a deep commitment to being the difference for our customers. Your role will reflect our shared goal of enhancing health care delivery and building healthier, more vibrant communities.
The Sr. Quality Data Analyst will be responsible for leading and overseeing operational workflows within the Health Care Quality Analytics team. The ideal candidate will be accountable for ensuring the team delivers routine and ad hoc analyses and data visualizations to support MVP's health care quality functional area. The ideal candidate will have experience working with NCQA and CMS quality measures and HEDIS data to support improved health care outcomes and member satisfaction. They will also participate in automation efforts that create efficiencies and help to create a data-driven organization. The Sr. Quality Data Analyst will work with cross-functional teams, including business, technical, and Data Governance teams, to ensure the availability, accuracy, and reliability of data.
In alignment with MVP's core values, the Sr. Quality Data Analyst will be expected to demonstrate strong interpersonal and communication skills, promoting cooperation across organizational boundaries and encouraging groups to work together cooperatively. They will have strong analytical thinking skills, and a focus on continuously improving processes and reducing technical debt. Additionally, they will be self-motivated, with a sense of accountability and urgency in completing assignments.
Key Responsibilities:
- Lead and oversee the successful execution of operational workflows and health care quality data deliverables.
- Have experience working with HEDIS, Medicare Stars, and NYSDOH QARR measures data and a good understanding of health care quality measurement.
- Conduct analysis of large data sets to support health care quality improvement initiatives, including gap analysis, process optimization, and patient engagement.
- Collaborate with cross-functional teams to design, implement, and maintain data solutions that meet the needs of stakeholders and business partners.
- Ensure the accuracy and integrity of data through the development and implementation of data quality control processes and procedures.
- Provide training and mentorship to team members to promote growth and development.
- Participate in the development of data governance policies, standards, and procedures, and ensure compliance with regulatory requirements and industry best practices.
- Present data insights and recommendations to leadership, effectively communicating complex technical information to non-technical stakeholders.
- Continuously monitor and evaluate the effectiveness of operational workflows, making recommendations for improvements and leading implementation efforts as necessary.
Position Qualifications
Minimum Education
Bachelor's degree in a related field (e.g. Mathematics, Statistics, Computer Science, Epidemiology, or Healthcare) required; Master's degree preferred.
Minimum Experience
5+ years of experience in healthcare data analysis, with a strong focus on health care quality analytics and operations.
Experience leading teams and executing on operational workflows.
Required Skills
- Strong analytical skills, with the ability to turn data into actionable insights.
- Proficiency in SQL, Azure Databricks, data visualization tools (e.g. Tableau, PowerBI), and data manipulation tools (e.g. Alteryx, R, Python).
- Excellent verbal and written communication skills, with the ability to effectively communicate technical information to both technical and non-technical stakeholders.
- Ability to work independently and as part of a team, with strong project management skills and the ability to prioritize tasks effectively.
- Keen attention to detail.
- Subject matter expertise of healthcare industry quality metrics, Medicare Stars and HEDIS standards.
Pay Transparency
MVP Health Care is committed to providing competitive employee compensation and benefits packages. The base pay range provided for this role reflects our good faith compensation estimate at the time of posting. MVP adheres to pay transparency nondiscrimination principles. Specific employment offers and associated compensation will be extended individually based on several factors, including but not limited to geographic location; relevant experience, education, and training; and the nature of and demand for the role.
We do not request current or historical salary information from candidates.
$93,667.00-$124,576.75
MVP's Inclusion Statement
At MVP Health Care, we believe creating healthier communities begins with nurturing a healthy workplace. As an organization, we strive to create space for individuals from diverse backgrounds and all walks of life to have a voice and thrive. Our shared curiosity and connectedness make us stronger, and our unique perspectives are catalysts for creativity and collaboration.
MVP is an equal opportunity employer and recruits, employs, trains, compensates, and promotes without discrimination based on race, color, creed, national origin, citizenship, ethnicity, ancestry, sex, gender identity, gender expression, religion, age, marital status, personal appearance, sexual orientation, family responsibilities, familial status, physical or mental disability, handicapping condition, medical condition, pregnancy status, predisposing genetic characteristics or information, domestic violence victim status, political affiliation, military or veteran status, Vietnam-era or special disabled Veteran or other legally protected classifications.
To support a safe, drug-free workplace, pre-employment criminal background checks and drug testing are part of our hiring process. If you require accommodations during the application process due to a disability, please contact our Talent team at .
Job Summary:
Our client is seeking a Data Steward to join their team! This position is located Hybrid in Creve Coeur, Missouri.
Duties:
- Understand business capability needs and processes as they relate to IT solutions through partnering with Product Managers and business and functional IT stakeholders
- Participate in data scraping, data curation and data compilation efforts
- Ensure high quality of the data to end users
- Ensure high quality of the inhouse data via data stewardship
- Implement and utilize data solutions for data analysis and profiling using a variety of tools such as SQL, Postman, R, or Python and following the team’s established processes and methodologies
- Collaborate with other data stewards and engineers within the team and across teams on aligning delivery dates and integration efforts
- Define data quality rules and implement automated monitoring, reporting, and remediation solutions
- Coordinate intake and resolution of data support tickets
- Support data migration from legacy systems, data inserts and updates not supported by applications
- Partner with the Data Governance organization to ensure data is secured and access is being managed appropriately
- Identify gaps within existing processes and capable of creating new documentation templates to improve the existing processes and procedures
- Create mapping documents and templates to improve existing manual processes
- Perform data discoveries to understand data formats, source systems, etc. and engage with business partners in this discovery process
- Help answer questions from the end-users and coordinate with technical resources as needed
- Build prototype SQL and continuously engage with end consumers with enhancements
Desired Skills/Experience:
- Bachelor's Degree in Computer Science, Engineering, Science, or other related field
- Applied experience with modern engineering technologies and data principles, for instance: Big Data Cloud Compute, NoSQL, etc..
- Applied experience with querying SQL and/orNoSQL databases
- Experience in designing data catalogs, including data design, metadata structures, object relations, catalog population, etc.
- Data Warehousing experience
- Strong written and verbal communication skills
- Comfortable balancing demands across multiple projects / initiatives
- Ability to identify gaps in requirements based on business subject matter domain expertise
- Ability to deliver detailed technical documentation
- Expert level experience in relevant business domain
- Experience managing data within SAP
- Experience managing data using APIs
- Big Query experience
Benefits:
- Medical, Dental, & Vision Insurance Plans
- Employee-Owned Profit Sharing (ESOP)
- 401K offered
The approximate pay range for this position starting at $104,000 - $115,000+ Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.
At KellyMitchell, our culture is world class. We’re movers and shakers! We don’t mind a bit of friendly competition, and we reward hard work with unlimited potential for growth. This is an exciting opportunity to join a company known for innovative solutions and unsurpassed customer service. We're passionate about helping companies solve their biggest IT staffing & project solutions challenges. As an employee-owned, women-led organization serving Fortune 500 companies nationwide, we deliver expert service at a moment's notice.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from KellyMitchell and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at
Hi ,
This is Vamshi ,from Software Technology We have a job opening with our client for position DBA/DATA Architect If you are available and looking for any new opportunities, please send me your updated resume for below position ASAP.
Job Title: DBA/DATA Architect
Location: Denver, CO (Hybrid 3 days work form office)
Duration: Full Time/Longterm Contract
Must have skills: Architect level good; but should be hands-on with proactive driver mindset (individual contributor; no team management responsibility)
Skills To Be Evaluated On
Azure Data Factory, MS SQL Server DBA, Performance Tuning, Data Pipeline, Data Management
Technical Skills
- Azure Data Factory, Azure Data Lake Storage (ADLS), Azure Databricks, Azure SQL Database.
- Strong SQL, Python, Scala, and PySpark.
- Experience in building data models and schema design.
- Experience with SSIS
- Oracle DB experience would be a Plus
Roles & Responsibilities
- Design, build, and optimize data pipelines and ETL processes using Azure Data Factory and Databricks.
- Manage Azure SQL Database, including performance tuning, indexing, and query optimization.
- Design scalable data solutions, data lakes (ADLS), and data warehousing solutions.
- Ensure data security, quality, and integrity throughout the lifecycle.
- Monitor data pipelines and resolve performance issues or failures.
- Work with data scientists and analysts to support data-driven decision-making.
Thanks,
Vamshi Thangadpalli
Technical Recruiter
Email: | Web: :// Overlook Center, Suite 200
Princeton, NJ 08540.
