Fabric Senior Data Engineer
EXL (company site, opens in a new tab)5+ yrsPuneOn-siteDirect career pageEst. 12–20 LPA
Posted on 3 Sept
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Job description
Structured overview of role & requirements
About This Role
- Develop and maintain Microsoft Fabric / OneLake Lakehouse solutions covering Bronze, Silver, and Gold data layers with full lifecycle responsibility.
- Build and optimize scalable data ingestion pipelines, CDC frameworks, and transformation processes using Spark/PySpark, Python, SQL, and Fabric Data Pipelines.
- Implement and uphold data quality, governance, security standards and operational controls while collaborating with solution architects and stakeholders to deliver scalable data solutions.
Minimum Requirements
- Minimum 5+ years of Data Engineering experience with practical knowledge in Azure / Microsoft Fabric ecosystem.
- Hands-on expertise with Microsoft Fabric Lakehouse, OneLake, Data Pipelines, Notebooks, Spark/PySpark, Python, SQL, and Delta Lake.
- Proven experience in data ingestion (ETL/ELT), CDC, Medallion Architecture, data quality, validation, reconciliation, and exception-handling frameworks.
- Working knowledge of Power BI semantic models, Microsoft Purview, Azure DevOps, Git, CI/CD, and deployment processes.
Ideal Candidate Profile
- Strong background in building end-to-end data lakehouse solutions within Azure/Microsoft Fabric environments.
- Experience working with complex, multi-layered data architectures (Bronze, Silver, Gold) and applying Medallion Architecture principles.
- Familiarity with commercial insurance or brokerage data domain is a preferred advantage but not mandatory.