Back
Senior, specialized Azure/Fabric data role reduces broad applicant pool but Gurgaon metro interest keeps competition medium.
Core data engineering skills transfer broadly, but Microsoft Fabric specialization and insurance-data preference increase domain sensitivity.
Mandatory 8+ years and specific Azure/Microsoft Fabric, Spark, Purview, and Power BI expertise enforces high strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Develop and maintain Microsoft Fabric / OneLake Lakehouse solutions across Bronze, Silver, and Gold layers, including building scalable data ingestion pipelines and transformation processes.
Implement data quality, validation, reconciliation, and operational monitoring frameworks to ensure reliable data processing and support analytics including Power BI consumption.
Collaborate with architects and BI teams to troubleshoot issues and deliver scalable, secure data solutions following governance and security standards.
8+ years of Data Engineering experience with hands-on expertise in Azure and Microsoft Fabric.
Proficiency in Spark/PySpark, Python, SQL, delta Lake, ETL/ELT, CDC, and Medallion Architecture.
Bachelor's degree or equivalent in Computer Science, Engineering, IT, or related field.
Experience with Microsoft Fabric Lakehouse, OneLake, Data Pipelines, Notebooks, and knowledge of Power BI semantic models and Direct Lake.
Deep technical expertise in Microsoft Fabric ecosystem and Azure data services with experience delivering end-to-end data pipeline solutions.
Experienced working with complex data architectures implementing layered Lakehouse solutions (Bronze, Silver, Gold) and data governance frameworks.
Has worked in or understands commercial insurance or brokerage domain data (preferred but not mandatory).