Fabric Senior Data Engineer
EXL (company site, opens in a new tab)5+ yrsGurugramOn-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 multi-layer Microsoft Fabric / OneLake Lakehouse solutions (Bronze, Silver, Gold) including ingestion, transformation, and curated datasets.
- Build scalable, reusable data ingestion pipelines and CDC frameworks from diverse sources and implement data quality, validation, tracking, and error-handling frameworks.
- Collaborate with architects and business teams to troubleshoot production issues, optimize Spark/PySpark, Python, SQL workloads, and support Power BI semantic models and Direct Lake consumption.
Minimum Requirements
- 5+ years of Data Engineering experience with hands-on Azure / Microsoft Fabric expertise.
- Strong proficiency in Microsoft Fabric Lakehouse, OneLake, Data Pipelines, Notebooks; Spark/PySpark, Python, SQL, and Delta Lake.
- Experience with ETL/ELT, CDC, Medallion Architecture, data quality and validation frameworks.
- Experience with Microsoft Purview, Azure DevOps, Git, CI/CD; Commercial insurance or brokerage data experience preferred but not mandatory.
Ideal Candidate Profile
- Experienced in designing and operationalizing end-to-end lakehouse architectures using Microsoft Fabric spanning ingestion to curation.
- Proficient in building robust, operational data quality and governance frameworks in regulated data environments.
- Able to partner effectively with cross-functional technical and business stakeholders for scalable data platform delivery.