Overview
Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world.

Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture.

​​Within Microsoft Fabric, the Data Integration team enables organizations to connect, move, and shape data across their entire data estate. As data is generated across applications, devices, and systems, our integration capabilities make it easy to ingest, transform,



and prepare data for downstream use. Fabric’s unified integration experience simplifies how customers bring data together, ensuring it is trusted, usable, and ready to power analytics, real-time insights, and AI scenarios. ​

​​The Data Integration team is hiring a Software Engineer II to work on Power Query and Dataflows. Our team focuses on:
- End-to-End Data Integration: Designing and implementing solutions that enable customers to connect, transform, and integrate data seamlessly—from no-code experiences to complex enterprise scenarios.
- High-Scale Engineering: Building and maintaining high-throughput, multi-tenant services with robust reliability, scalability, and maintainability.
- Customer-Centric Innovation: Driving improvements in product functionality, performance, and usability to deliver frictionless experiences across Microsoft surfaces like Fabric, Excel, and Power Plat

📌 Software Engineer II (Bengaluru)
🏢 Microsoft
📍 Bengaluru