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. • Robust 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 in

📌 Fabric Senior Data Engineer (Gurugram)
🏢 EXL
📍 Gurugram