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Fabric Senior Data Engineer

exl Service.com (India) Private Limited
Gurugram, IND
Senior · 5+ years experience
Hybrid
Discovered 1 months ago
azuredelta-lakeexcelgcpgitpower-bi

Full Job Posting

Key Responsibilities

  • Develop and maintain Microsoft Fabric / OneLake Lakehouse solutions across Bronze, Silver, and Gold layers.
  • Build reusable data ingestion pipelines and CDC frameworks for sources including GCP, CSV, Excel, email files, and SharePoint.
  • Implement Bronze-layer ingestion with audit logging, schema validation, schema-drift detection, and error handling.
  • Develop Silver-layer transformations for cleansing, standardization, data quality, validation, and exception handling.
  • Build Gold-layer datasets including curated entities, conformed dimensions, business metrics, KPIs, aggregations, and secure views.
  • Develop and optimize Spark / PySpark, Python, and SQL workloads for scalable data processing.
  • Build data pipelines using Fabric Data Pipelines, Synapse Pipelines, and Notebooks.
  • Support Power BI semantic models and Direct Lake data consumption requirements.
  • Implement data quality checks, reconciliation processes, monitoring, and operational controls.
  • Follow data governance and security standards, including Purview, RBAC, PII/PHI controls, classification, and lineage.
  • Troubleshoot pipeline failures, performance issues, data discrepancies, and production incidents.
  • Collaborate with Solution Architects, Lead Data Engineers, BI teams, and business stakeholders to deliver scalable data solutions. Required Experience & Skills
  • 5+ years of overall Data Engineering experience with hands-on experience in Azure / Microsoft Fabric.
  • Strong hands-on experience with Microsoft Fabric Lakehouse, OneLake, Warehouse, Data Pipelines, and Notebooks.
  • Proficiency in Spark / PySpark, Python, SQL, and Delta Lake.
  • Experience with ETL/ELT, CDC, data ingestion, transformation, and Medallion Architecture.
  • Experience developing data quality, validation, reconciliation, and exception-handling frameworks.
  • Knowledge of Power BI semantic models and Direct Lake.
  • Experience with Microsoft Purview, Azure DevOps, Git, CI/CD, and deployment
  • Commercial insurance or brokerage data experience preferred.

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