Data Engineering Platform Specialist

3 weeks ago


Bengaluru, Karnataka, India Microsoft Full time

Microsoft is a leading innovator in the field of data analytics, empowering businesses to unlock new possibilities and drive growth.

The Azure Data engineering team is at the forefront of this revolution, developing cutting-edge solutions for databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. Our portfolio includes 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.

We are seeking a highly skilled Software Engineer II to join our team, responsible for designing high-quality components in C#/Java using clean and tested code. The ideal candidate will have experience working with Azure technologies, including Storage, Premium Files, Service Bus, Event Hub, Event Grid, Kusto to SQL Azure, Cosmos DB, and Azure Redis.

This role requires 3+ years of experience with highly scalable cloud services and a strong background in software development. A Bachelor's Degree in Computer Science or related technical discipline is required, with a Master's Degree or equivalent experience preferred.

As a key member of the Core platform team, you will be responsible for designing, implementing, and refining chosen solutions in close partnership with Product Management and partner teams. You will also review and contribute to specifications and implementations written by other team members, providing technical leadership across features, projects, service fundamentals, and tools.

In addition to your technical expertise, we value your ability to embody our culture and values, which include diversity, inclusion, and collaboration. We seek out differences and invite them in, recognizing that our customers are better served when we tap into the collective power of everyone in the company.

Average salary for this position in the United States is around $141,000 per year, based on national averages and industry standards. This estimate may vary depending on factors such as location, experience, and specific requirements of the role.


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