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, Yarn, etc., 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. 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, you have an opportunity to work on the latest technology in compute and azure services, hosting to build a massively scalable unified cloud service framework, get to work on heterogeneous transport protocols, apply innovative algorithms for solving placement and load balancing problems at scale. We need collaborative developers who can think big, deliver on those big challenges, and along the way, change the world.
Basic Qualifications: Bachelor's degree in Computer Science or Engineering or Mathematics or Physics or IT related technical discipline or in place of 3+ years of internship or 3+ years of industry software engineering experience 4+ years of programming experience in Java OR C++ OR C# OR C OR object-oriented programming Preferred Qualifications: Passion and experience in developing Restful services Experience with OSS components like Spark and Hadoop eco system. Experience working with Azure service fabric Experience working on flighting services / toolset Passion and experience for Engineering