Job highlights

- 5–10 years experience in data engineering with expertise in Microsoft Fabric, Python/PySpark, SQL, ETL/ELT, and dimensional modelling

- Design, develop and maintain Microsoft Fabric data engineering solutions, build layered data architectures and production-grade ETL/ELT pipelines, integrate data from multiple sources, implement data quality and monitoring, collaborate with teams

Job Title: Fabric Data Engineer

Experience: 510 Years

About the Role

We are seeking a hands-on Fabric Data Engineer with strong expertise in Microsoft Fabric, Python and SQL to build and maintain scalable data solutions across analytics and reporting use cases.

Key Responsibilities

- Design, develop and maintain Microsoft Fabric Data Engineering solutions, including Lakehouse, Warehouse, Pipelines and Notebooks.

- Build and maintain layered data architectures (Medallion) and production-grade ETL/ELT pipelines for batch and incremental processing.

- Develop and optimize Python, PySpark and SQL solutions for data ingestion and transformation.

- Integrate data from databases, APIs, OData, files and SaaS applications.

- Implement data quality, validation, reconciliation, monitoring and error handling.

- Develop reusable, parameterized and configuration-driven data processes.

- Apply appropriate data modelling and data warehousing practices.

- Follow established development, naming, documentation, testing and deployment standards.

- Collaborate with data engineers,



analytics teams and business stakeholders.

Mandatory Skills

- 5–10 years of experience in data engineering, data warehousing, BI or related fields.

- Strong hands-on experience with Microsoft Fabric Data Engineering, including Lakehouse, Pipelines and Notebooks.

- Strong Python/PySpark and SQL skills.

- Solid understanding of ETL/ELT, data integration and data pipelines.

- Experience with incremental loading, CDC, watermarking and historical data processing.

- Experience with relational and analytical databases.

- Practical knowledge of dimensional modelling, star schemas and SCD Type 1/Type 2.

- Experience integrating data through APIs, OData, databases, files and SaaS applications.

- Experience with Git, CI/CD and DEV/TEST/PROD deployment processes.

- Experience with data quality, reconciliation, monitoring, logging and error handling.

- Understanding of SQL and Spark performance optimization.

Desirable Skills

- Exposure to SAP Analytics Cloud (SAC) and downstream reporting/data consumption use cases.

- Previous experience integrating or migrating SAP BTP calculated views to Microsoft Fabric or similar modern data platforms.

- Experience with Confluence for technical documentation and knowledge sharing.

- Exposure to Salesforce as a data source.

- Exposure to Microsoft Purview or other data governance, cataloguing, or metadata management solutions.

📌 Software Engineer (Pune)
🏢 Tech Mahindra
📍 Pune