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Senior Data Engineer – Microsoft Fabric & Data Integration - Pune/Chennai
Wk
Pune, IND
Full-time
Senior · 7+ years experience
Hybrid
Discovered 3 weeks ago
Microsoft FabricFabric Data FactoryAzure Data FactorySQL ServerOneLakeLakehouse
Free
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Microsoft FabricFabric Data FactoryAzure Data Factory
Role Overview
We are seeking a highly skilled Senior Data Engineer to design, develop, optimize, and support modern enterprise data platforms and data integration solutions. This role is responsible for building scalable data pipelines, data warehouses, ETL/ELT frameworks, and analytics-ready data architectures utilizing Microsoft Fabric, Azure Data Factory, Fabric Data Factory, SQL Server, and associated technologies. The ideal candidate will possess deep expertise in SQL development, data warehousing methodologies, ETL/ELT best practices, and cloud-based data engineering. Our engineering organization has adopted Specification-Driven Development (SDD) as a core practice emphasizing clear requirements, technical specifications, automation, quality, and maintainability. We also view Artificial Intelligence and AI-assisted engineering as strategic investments in our future.
Key Skills for This Role
Microsoft FabricFabric Data FactoryAzure Data FactorySQL ServerOneLakeLakehouse
Full Job Posting
Position Summary
We are seeking a highly skilled Senior Data Engineer to design, develop, optimize, and support modern enterprise data platforms and data integration solutions. This role is responsible for building scalable data pipelines, data warehouses, ETL/ELT frameworks, and analytics-ready data architectures utilizing Microsoft Fabric, Azure Data Factory, Fabric Data Factory, SQL Server, and associated technologies. The ideal candidate will possess deep expertise in SQL development, data warehousing methodologies, ETL/ELT best practices, and cloud-based data engineering. Our engineering organization has adopted Specification-Driven Development (SDD) as a core practice emphasizing clear requirements, technical specifications, automation, quality, and maintainability. We also view Artificial Intelligence and AI-assisted engineering as strategic investments in our future.
Key Responsibilities
- Design, build, and maintain scalable, reliable, and secure data integration and analytics solutions.
- Develop enterprise platforms utilizing Microsoft Fabric, Fabric Data Factory, Azure Data Factory, SQL Server, OneLake, Lakehouse, and Data Warehouse architectures.
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