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Job Summary for Azure Data Engineer:

We are seeking a Senior Data Engineer to join a dynamic data team focused on building and modernizing enterprise data platforms. This role combines hands-on engineering, platform support, and forward-looking architecture design, with an emphasis on mentoring junior team members and driving best practices.

Job Qualifications and Responsibilities for Azure Data Engineer:

Key Responsibilities

• Design, develop, and maintain scalable data warehouse and lakehouse architectures
• Implement and optimize Medallion Architecture (Bronze, Silver, Gold layers)
• Build robust data pipelines using Python as a primary language
• Ensure data observability, quality checks, and governance using modern tools
• Support existing data platform (currently on Microsoft Fabric) – ~50% of role
• Contribute to platform modernization strategy, evaluating and potentially implementing solutions like Databricks or Snowflake – ~50% of role
• Develop and maintain data catalogs and metadata management frameworks
• Collaborate with cross-functional teams to understand and deliver on data requirements
• Mentor junior engineers and promote engineering best practices

Required Qualifications

• Strong experience in:
• Data Warehousing concepts
• Lakehouse architecture
• Medallion Architecture
• Data Observability & Data Quality frameworks
• Data Cataloging tools and practices
• Proficiency in Python (primary development language)
• Hands-on experience with cloud platforms (Azure preferred; AWS acceptable with willingness to quickly learn Azure)
• Strong problem-solving and analytical skills
• Excellent communication and interpersonal skills