Lead Data Engineer - Azure + Fabric
EXL (company site, opens in a new tab)8+ yrsBengaluruOn-siteDirect career pageEst. 22–35 LPA
Posted 29d ago
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Job description
Structured overview of role & requirements
About This Role
- Own the development and maintenance of Microsoft Fabric / OneLake Lakehouse solutions across Bronze, Silver, and Gold layers following Medallion Architecture.
- Build and optimize scalable data ingestion and transformation pipelines using Spark/PySpark, Python, SQL, Fabric Data Pipelines, Synapse Pipelines, and Notebooks.
- Implement data quality, validation, audit logging, schema validation, monitoring, and operational controls while supporting Power BI semantic models and ensuring compliance with data governance and security standards.
Minimum Requirements
- 8+ years of data engineering experience with hands-on experience in Azure and Microsoft Fabric.
- Proficiency in Spark/PySpark, Python, SQL, Delta Lake, and strong experience with Microsoft Fabric Lakehouse, OneLake, Data Pipelines, and Notebooks.
- Bachelor's degree (B.Tech or equivalent) in Computer Science, Engineering, IT, or related fields.
- Experience with ETL/ELT, CDC frameworks, Medallion Architecture, data quality frameworks, and knowledge of Power BI semantic models and Direct Lake.
Ideal Candidate Profile
- Experienced in building scalable, layered lakehouse data architectures using Microsoft Fabric and Medallion Architecture.
- Skilled in developing resilient data pipelines with strong operational maturity including error handling, schema drift detection, and monitoring.
- Able to collaborate effectively with architects, BI teams, and stakeholders to deliver robust data solutions, preferably with familiarity in commercial insurance or brokerage data.