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.

Responsibilities

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.

Qualifications

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 insurance or brokerage data experience preferred.

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