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Hi

Our client is looking for a Sr. Architect – SAP Native HANA & S/4HANA Finance Consultant with a CONTRACT project in Rahway, NJ below is the detailed requirement.

Job positing Title : Sr. Architect – SAP Native HANA & S/4HANA Finance

Location: Rahway, NJ

Type: Contract

Must Skills: SAP Native HANA,S/4HANA Finance

Job description:

We are seeking a highly experienced Senior Architect with 10–14 years of expertise in SAP Native HANA development and strong functional understanding of Finance, Intercompany processes, and S/4HANA Finance. This role will design and implement scalable HANA based solutions that support financial reporting, intercompany profit elimination, and enterprise wide analytics

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Finance, Data Engineering or a related field.

• Strong expertise in Native HANA development, including SQL, SQLScript, Calculation Views, and Table Functions

• Experience with data modeling and performance optimization in SAP HANA

• Ability to design and build financial data models and analytical views

• Experience working with large finance datasets and optimizing complex SQL logic

• Familiarity with CDS Views, ABAP for HANA, and integration with SAP S/4HANA Finance modules

• Strong understanding of S/4HANA Finance data structures (Universal Journal, CO PA, etc.)

Finance & Intercompany Functional Skills

• Knowledge of intercompany transactions and financial flows across legal entities

• Strong configuration/functionality knowledge of FICO, COPA, GL balances

• Experience in Intercompany Profit Elimination including profit-in-inventory and consolidation adjustments

• Understanding of intercompany markup calculations, unrealized profit tracking, and reversal upon external sales

• Experience supporting financial consolidation, reconciliation, and reporting needs

• Ability to translate accounting and Finance requirements into scalable technical solutions

Nice-to-Have Skills:

• Experience with Intercompany Profit elimination process and Markup reporting

• Exposure to SAP financial close processes

• Finance-related certifications

Production Planner

Position Summary:

The Production Planner is responsible for developing, maintaining, and optimizing production schedules to ensure efficient manufacturing operations, on-time order fulfillment, and alignment with business demand. This role serves as a key link between Sales, Manufacturing, Purchasing, and Warehouse teams, supporting S&OP processes and helping implement structured planning tools, including MRP systems, within a cGMP-regulated dietary supplement environment.

Key Responsibilities:

• Develop and maintain detailed production plans & schedules for pharmacy, blending, encapsulation, and packaging operations
• Lead and participate in SIOP (Sales, Inventory & Operations Planning) meetings
• Translate demand forecasts into executable production plans
• Coordinate with Purchasing to ensure raw materials and components are available to support production schedules
• Work closely with Warehouse to align inventory levels with production needs
• Support upstream planning activities to prevent material shortages or production delays
• Assist with implementation, maintenance, and optimization of MRP and planning systems
• Monitor schedule adherence and adjust plans based on operational constraints
• Communicate schedule changes clearly to cross-functional teams
• Support continuous improvement of planning tools, reports, and processes

Qualifications:

Education: Bachelor’s degree in Supply Chain, Operations Management, Industrial Engineering, or related field preferred

Experience: 2–5 years of production scheduling, planning, or supply chain experience preferred

Skills:

• Strong understanding of production planning and scheduling principles
• Familiarity with planning tools, MRP systems, and ERP platforms
• Proficiency in Microsoft Excel and scheduling tools
• Strong organizational, analytical, and communication skills
• Ability to manage changing priorities in a fast-paced manufacturing environment
• Bilingual preferred (Spanish & English)

Success Metric:

• On-time execution of production schedules
• Reduced production delays due to material shortages
• Improved alignment between demand, inventory, and production
• Successful adoption and use of planning and MRP tools

Job Title : Nuclear Engineer (Naval Reactors Engineer) Category / Component : Officer • Active Overview Design, regulate, and oversee the Navy's nuclear propulsion program, including reactor design, fleet operations, and eventual defueling and decommissioning of nuclear powered ships and submarines from Naval Reactors Headquarters and associated Department of Energy laboratories and shipyards.

Key Responsibilities Provide technical direction in areas such as reactor and fluid systems design, reactor physics, materials development, component design for steam generators, pumps, and valves, instrumentation and control for reactor and propulsion plants, testing and quality control, radiation shielding, and chemistry and radiological controls; review designs and analyses from laboratories, shipyards, and industry partners; coordinate with fleet units to ensure safe and reliable nuclear plant operation.

What to Expect Assume significant technical responsibility early in your career as part of a lean headquarters staff; work primarily in an analytical and oversight role rather than operating plants at sea; balance long term engineering projects with time sensitive fleet and shipyard issues; frequent coordination with senior civilian engineers, naval officers, and technical teams; high expectations for attention to detail, judgment, and written and oral communication.

Work Environment Work mainly at Naval Reactors Headquarters in the Washington, District of Columbia area with regular engagement with Department of Energy laboratories, nuclear training sites, shipyards, and nuclear powered ships and submarines; office based work that includes document reviews, technical meetings, inspections, and site visits rather than day to day shipboard watchstanding.

Pathways, Training & Advancement Officer commissioning through programs such as Officer Candidate School or the Nuclear Propulsion Officer Candidate program followed by a structured technical qualification program at Naval Reactors; rotational exposure to laboratories, prototypes, shipyards, and fleet support issues; progressive responsibility leading projects and becoming a subject matter expert, with opportunities for professional military education and advanced graduate study in technical fields.

Entry through the Nuclear Propulsion Officer Candidate program for qualified college students and recent graduates, or selection via Officer Candidate School for those who already hold qualifying degrees; all applicants must meet Nuclear Propulsion Program academic and technical screening standards in addition to general officer commissioning requirements.

Qualifications All Navy jobs require meeting general enlistment or commissioning standards, which typically include: Eligibility to serve in the United States Navy, which may involve United States citizenship or other legal residency and work status, depending on the program and current law and policy A high school diploma or equivalent for enlisted positions, and a bachelor's or qualifying professional degree for officer positions Meeting age limits that vary by program and are set in law and Navy policy.

Some communities have more restrictive age ranges Meeting medical, vision, and dental standards, including body composition and physical fitness requirements, with some jobs requiring more demanding standards Meeting character and conduct standards, including background screening Achieving required test scores for your program, such as the Armed Services Vocational Aptitude Battery for enlisted roles or officer qualification tests for officer programs Eligibility for a security clearance when required for your rating or designator Additional qualifications can include specific skills, education, licensure, or experience that are unique to a job or community and will be reviewed with you by a recruiter.

Additional qualifications for this job may include: Completion of a rigorous technical degree in engineering, physics, mathematics, or a closely related field that includes strong backgrounds in calculus and physics; outstanding academic record, particularly in technical coursework; United States citizenship and eligibility for a high level security clearance; strong technical aptitude and comfort with detailed analytical work.

Education Education benefits are available through standard Navy programs such as Tuition Assistance, the Post-9/11 GI Bill, ACE-recommended college credit for Navy training, Navy COOL-funded certifications, USMAP apprenticeships, and other Navy College Program opportunities.

Specific options depend on the Sailor's status, training, and current Navy policy.

Pay, Benefits & Service Pay, benefits, and service commitments follow standard Navy Active and/or Reserve policies for this type of role, including basic pay, allowances when eligible, health coverage, and retirement options.

Exact entitlements, special pays, and service obligations depend on program, component, years of service, and current law and Navy guidance.

Incentives Incentives such as bonuses, special pays, and loan repayment may be available at times for specific ratings or communities, but they change frequently and cannot be guaranteed.

Applicants must confirm current incentives and eligibility with an official Navy recruiter or authoritative Navy source.

Notes and Disclaimers This description is a general overview of typical duties, training, and opportunities in this community.

It does not replace official Navy instructions, policies, or contracts and does not guarantee specific assignments, training, incentives, or outcomes.

Actual opportunities depend on Navy needs, individual performance, screening results, and current law and policy.

Key Responsibilities

Design develop and maintain data ingestion pipelines using Databricks and Lakeflow Connect

Integrate data from various structured and unstructured sources into Delta Lake and other data storage systems

Implement realtime and batch ingestion workflows to support analytics and reporting needs

Optimize data ingestion performance ensuring scalability reliability and cost efficiency

Collaborate with data architects analysts and business stakeholders to define data requirements and ingestion strategies

Ensure data quality lineage and governance compliance across the ingestion process

Automate data ingestion monitoring alerting and errorhandling mechanisms

Stay up to date with emerging Databricks Lakehouse and data integration technologies and best practices

Required Qualifications

Bachelors or Masters degree in Computer Science Information Systems Data Engineering or a related field

4 years of experience in data engineering or ETL development

Handson experience with Databricks SQL PySpark Delta Lake

Proficiency with Lakeflow Connect for building and managing data ingestion workflows

Strong understanding of data integration patterns data modeling and data lakehouse architectures

Experience with cloud platforms Azure AWS or GCP and associated data services

Knowledge of CICD version control Git and infrastructure as code practices

Familiarity with data governance security and compliance standards

Preferred Skills

Experience with streaming technologies Kafka Event Hubs etc

Knowledge of REST APIs and connectorbased ingestion

Exposure to machine learning data pipelines in Databricks

Strong problemsolving communication and collaboration skills"

As a Data Science/Data Engineer Intern, you will work on cutting-edge analytical and data engineering projects that drive measurable business impact across pricing, underwriting, marketing, and claims.

This internship is ideal for a technically curious, motivated problem-solver who wants hands-on data science experience.

RESPONSIBILITIES

• Support the design, construction, and optimization of robust data pipelines to enable machine learning and analytical modeling.
• Contribute to the design and implementation of data and ML workflows using orchestration tools such as Dagster, Airflow, or similar frameworks.
• Help implement data quality checks, validation routines, and monitoring for automated data workflows.
• Assist in organizing and managing internal GitHub repositories to standardize ML project structures and best practices.
• Collaborate with data scientists and engineers to automate the ingestion, transformation, and delivery of data for model development.
• Contribute to initiatives migrating analytical processes into cloud-based data lake architectures and modern platforms such as AWS or Snowflake.
• Develop reusable and well-tested code to support analytical pipelines and internal tools using Python and SQL.
• Conduct data mining, cleansing, and preparation tasks to build high-quality analytical datasets.
• Participate in model development, including data profiling, model training, validation, and interpretation.
• Build and evaluate predictive models that enhance profitability through improved segmentation and estimation of insurance risk.
• Assist in studies evaluating new business models for customer segmentation, retention, and lifetime value.
• Collaborate with business leaders to translate insights into operational improvements and cost efficiencies.

QUALIFICATIONS

• Currently pursuing or recently completed a Master’s in Data Science, Computer Science, Statistics, Economics, or related field.
• Proficiency in Python (Pandas, NumPy, Scikit-learn, XGBoost, or PyTorch) and SQL.
• Understanding of data engineering concepts, ETL/ELT workflows, and machine learning deployment.
• Exposure to workflow orchestration tools (e.g., Airflow, Dagster, Prefect) and Git/GitHub for collaborative development.
• Familiarity with Docker, CI/CD pipelines, and infrastructure-as-code tools such as Terraform preferred.
• Knowledge of AWS cloud services such as S3, Lambda, EC2, or SageMaker a plus.
• Experience with common modeling techniques (e.g., GLM, tree-based models, Bayesian statistics, NLP, deep learning) through coursework or projects.
• Strong analytical, communication, and problem-solving skills.
• A self-starter mindset, with attention to detail and enthusiasm for learning new technologies.

SALARY RANGE

The pay range for this position is $35 hourly.

ABOUT THE COMPANY

The Plymouth Rock Company and its affiliated group of companies write and manage over $2 billion in personal and commercial auto and homeowner’s insurance throughout the Northeast and mid-Atlantic, where we have built an unparalleled reputation for service. We continuously invest in technology, our employees thrive in our empowering environment, and our customers are among the most loyal in the industry. The Plymouth Rock group of companies employs more than 1,900 people and is headquartered in Boston, Massachusetts. Plymouth Rock Assurance Corporation holds an A.M. Best rating of “A-/Excellent."