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Specialized Fabric skills reduce applicants but general Data Engineer title and Bangalore location raise competition.
Core data engineering skills are transferable, but Microsoft Fabric specialization and insurance preference increase domain specificity.
Explicit 8+ years and mandatory Fabric, Spark, Azure, Purview, CI/CD requirements indicate high shortlisting strictness.
Develop, maintain, and optimize Microsoft Fabric / OneLake Lakehouse data solutions across Bronze, Silver, and Gold layers using Medallion Architecture.
Build reusable data ingestion pipelines (including CDC), data transformation, quality, validation, and reconciliation frameworks supporting scalable analytics and Power BI usage.
Ensure data governance, security, and operational monitoring; troubleshoot pipeline failures and collaborate with architects, engineers, and BI teams to deliver robust data products.
8+ years of Data Engineering experience with hands-on expertise in Azure and Microsoft Fabric platforms.
Proficiency in Spark / PySpark, Python, SQL, Delta Lake, ETL/ELT, CDC, and Medallion Architecture implementation.
Bachelor's degree in Computer Science, Engineering, IT, or related field.
Experience with Microsoft Fabric Lakehouse, OneLake, Data Pipelines, Notebooks, and familiarity with Power BI semantic models, Purview, Azure DevOps, Git, and CI/CD.
Strong background in building multi-layered data lakehouse architectures using Microsoft Fabric and OneLake technologies.
Skilled at developing operational data quality and monitoring frameworks within large-scale Azure environments.
Experience working with data from commercial insurance or brokerage sectors is a plus but not mandatory.