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 build the Data Engineering, Data Science, and Data Integration pillars of Microsoft Fabric.​

We develop Fabric Materialized Lake Views—reliable, large-scale, high-performance distributed systems for data engineering. We also maintain Azure HDInsight, the PaaS platform packaging open-source components like Hadoop, Spark, HBase, and Kafka.

We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served.

Job Responsibilities :

• Design high-performance, scalable services for Microsoft Fabric.
• Work hands-on with Spark and Spark-based extension frameworks.
• Build and optimize lakehouse infrastructure and data pipelines.
• Develop cloud-scale SaaS platform features focusing on efficiency, reliability, and security.
• Participate in the full engineering lifecycle—from requirements to production support.
• Maintain HDInsight components ensuring stability for production customers.
• Leverage cutting-edge AI tools for innovative feature development.
• Debug complex distributed systems and drive automation in deployment​.

Key Skills

Big Data Technologies: Hadoop, Spark, Kafka, HBase, data lakes
Languages: C#, Scala, Java, Python
Azure Stack: Fabric, Synapse, Data Factory, AKS, Storage, Networking
Core: Distributed systems, cloud-scale SaaS, Linux/Windows debugging

Embody our culture and values

Required/Minimum Qualifications:

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.