Lead Data Engineer - Azure + Fabric
About the Role
Lead Data Engineer - Azure+ Fabric
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
- 8+ 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.
- Education & Certifications
- B. Tech / Bachelor’s degree or equivalent in Computer Science, Engineering, Information Technology, or a related field.
- Microsoft Fabric or Azure Data Engineer certification preferred.
Qualifications
- Experience with ETL/ELT, CDC, data ingestion, transformation, and Medallion Architecture.
- Experience with Microsoft Purview, Azure DevOps, Git, CI/CD, and deployment
About EXL
EXL is a global data and AI company that provides analytics, digital operations, and industry-specific services to enterprises in insurance, healthcare, banking, retail, media, and energy.
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