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 Fabric Data Integration team is currently seeking a Software Engineer to join their team. This team is in charge of designing, building, and operating a next generation service that transfers large volumes of data from various source systems to target systems with minimal latency while providing a data centric orchestration platform. The team focuses on advanced data movement/replication scenarios while maintaining user-friendly interfaces. Working collaboratively, the team utilizes a range of technologies to deliver high-quality products at a quick pace.
We do not just value differences or different perspectives. We seek them out and invite them in so we can

📌 Software Engineer II (Hyderabad)
🏢 Microsoft
📍 Hyderabad