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 Azure Data, the big data analytics team provides a range of products that enable data engineers and data scientists to extract intelligence from all data – structured, semi-structured, and unstructured. We are in the process of Integrating our disparate products into Microsoft Fabric with a set of experiences that are meant to simplify and accelerate time to value.
The Spark team in Fabric is hiring a Principal Software Engineer and is looking to push the boundaries of what is possible, again. You can help rebuild the way analytics engines process data. We build services that enable big data developers to build mission critical applications with high levels of Service Level Agreement (SLA) . As a manager or IC in our team, you will have an opportunity to work on and extend Open Source Software (OSS) technologies like Spark , Delta , Velox and Gluten as well as proprietary Microsoft services. You will help design & implement software components, participate in code reviews, design reviews, assist customers as needed to be able to leverage the service and keep the service running. You will support a team of talented engineers aiming to improve the abilities of what is possible with Spark today with industry leading performance, integration, security and reliability.
This will require exploring the frontiers of what is possible.
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