Data Engineer - Azure + Fabric

Fa Ewjt Saasfaprod1; Gurugram District; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

Fa Ewjt Saasfaprod1 is seeking a Data Engineer to build and maintain a modern data platform using Microsoft Fabric, OneLake, and the Medallion Architecture. You will develop scalable data pipelines, ensure data quality, and support analytics with Power BI.

The role focuses on Bronze to Gold data layers, crafting ingestion and transformation workflows, and implementing governance and security standards. Collaboration with Architects, BI teams, and stakeholders is essential.

Qualifications

• 4+ years of overall Data Engineering experience with hands-on Azure/Microsoft Fabric.
• Microsoft Fabric Lakehouse, OneLake, Warehouse, Data Pipelines, and Notebooks experience required.
• 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 Purview, Azure DevOps, Git, CI/CD, and deployment.
• Commercial insurance or brokerage data experience preferred.

Responsibilities

• Develop and maintain Microsoft Fabric/OneLake Lakehouse solutions across Bronze, Silver, and Gold layers.
• Build reusable data ingestion pipelines and CDC frameworks for diverse sources (GCP, CSV, Excel, email, SharePoint).
• Implement Bronze-layer ingestion with audit logging, schema validation, drift detection, and error handling.
• Develop Silver-layer transformations for cleansing, data quality, validation, and exception handling.
• Build Gold-layer datasets with curated entities, conformed dimensions, KPIs, and secure views.
• Optimize Spark/PySpark, Python, and SQL workloads for scalable processing.
• Create data pipelines using Fabric Data Pipelines, Synapse Pipelines, and Notebooks.
• Support Power BI semantic models and Direct Lake consumption requirements.
• Implement data quality checks, reconciliation, monitoring, and operational controls.
• Follow Purview-based governance, RBAC, PII/PHI controls, and lineage practices.
• Troubleshoot pipeline failures, performance issues, data discrepancies, and incidents.
• Collaborate with Solution Architects, Lead Data Engineers, BI teams, and stakeholders.

Skills

Microsoft Fabric

OneLake

Spark/PySpark

Python

SQL

Delta Lake

ETL/ELT

CDC

Power BI

Purview

Azure DevOps

Git

CI/CD

Deployment

Education

B.Tech / Bachelor’s degree

Microsoft Fabric or Azure Data Engineer certification

Tools

Data Pipelines

Notebooks

Fabric Lakehouse

OneLake

Job description

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

• 4+ 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.

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

• 4+ 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.