Job description

Requirements

  • Entry level
  • No Education
  • Salary to negotiate
  • Redmond

Description

Azure Big Data teams (Azure Data Lake, HDInsight, Azure Stream Analytics and Cosmos) present interesting challenges in technologies such as big-data, cloud, storage and open-source. We build reliable, highly scalable and highly performing distributed systems for data analytics on Azure. We work with various open-source technologies like Spark, Hadoop and Yarn, and make contributions to these technologies. We are creating a planetary scale storage system, which can scale to Exabyte of data (yes, that’s 18+ digits!). We are building next generation globally distributed, elastic scale, multi-model cloud database services. It is designed to enable developers to build planet-scale applications.

 

The Big Data Fundamentals Engineering Systems team focuses on three core pillars:


- Engineering Infrastructure, services and pipelines to support delivering multiple Open Source technologies. These systems must be highly collaborative and should be able to scale to thousands of developers at Microsoft. Open source engineering being a one of its kind of work, gives exposure to various cutting-edge technologies in constantly evolving modern systems.
- Modernize and advance CI/CD process and Toolsets to improve the overall productivity and agility of the developers.
- Innovate, Design and Develop services to be able to increase release cadence as well as enable flighting and A/B testing capabilities. Do you want to solve challenges that you didn’t even know existed until you get to a large size? Come join us on the Azure Big Data team!


As an engineer on a highly motivated and agile team, you will get an opportunity to work with the latest and greatest the OSS ecosystem has to offer. This is a highly collaborative team that works with several partner teams in Microsoft as well as open source ecosystem.

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