Posted on: 12/06/2026
Job Title : Senior Azure Data Engineer - Microsoft Fabric & Databricks
Experience : 6-10 Years
Location : Gurgaon (5 Days Onsite)
Job Summary :
We are seeking an experienced Azure Data Engineer with expertise in Databricks, PySpark, Microsoft Fabric, and Azure Data Services to design, develop, and optimize enterprise-scale data platforms. The role involves building end-to-end data pipelines, integrating SAP data sources, implementing scalable data architectures, and enabling analytics through Microsoft Fabric.
Key Responsibilities :
- Design and develop scalable ETL/ELT pipelines using Azure Data Factory and Microsoft Fabric.
- Build and optimize data ingestion, transformation, and orchestration workflows using Databricks and PySpark.
- Integrate enterprise data sources, including SAP systems, into Microsoft Fabric Lakehouse and Data Warehouse.
- Develop and maintain data models for analytics and reporting requirements.
- Implement monitoring, logging, data quality, and performance optimization frameworks.
- Collaborate with business, analytics, and application teams to deliver reliable data solutions.
- Support CI/CD, deployment automation, and data governance initiatives.
Required Skills :
- 4+ years of hands-on Azure Data Engineering experience.
- Strong expertise in Azure Databricks, PySpark, and Python.
- Experience with Azure Data Factory and Azure Data Lake Storage (ADLS Gen2).
- Hands-on experience with Microsoft Fabric (Lakehouse, Warehouse, Data Pipelines).
- Strong SQL and data modeling skills.
- Experience designing scalable and production-grade data pipelines.
Preferred Skills :
- SAP data integration and understanding of SAP data structures.
- Unity Catalog implementation and governance experience.
- Delta Lake and Spark-based processing.
- Azure DevOps and CI/CD pipelines.
- Power BI integration and reporting support.
- Experience with real-time or near real-time data ingestion.
- Knowledge of data governance and security best practices.
- Azure DP-203 and/or Microsoft Fabric certification.
Education :
- Bachelors or Masters degree in Computer Science, Engineering, Information Technology, or related field.
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Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1644345