Data Engineer – Microsoft Fabric / OneLake
Role Overview
We are looking for a Data Engineer to develop and maintain a modern data
platform leveraging Microsoft Fabric, OneLake, and the Medallion Architecture.
The role will focus on building scalable data pipelines, implementing data
transformation and quality processes, and supporting curated data products for
analytics and Power BI.
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.
* Solid hands-on experience with Microsoft Fabric Lakehouse, OneLake,
Warehouse, Data Pipelines, and Notebooks.
* Proficiency
📌 Lead Data Engineer (Gurugram)
🏢 EXL
📍 Gurugram