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.
The Big Data Fundamentals team focuses on Advanced data Insights and recommendations externally to our customers and internally for the business and the engineering teams. As an engineer in our team, you have an opportunity to work on the latest technology in data engineering/data science leveraging ML and AI to enable our customers and partners in making data driven decisions. 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!
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 10+ years of programming experience in Java OR C++ OR C# OR C OR object-oriented programming Preferred Qualifications: Experience employing AI and ML to solve high impact business problems Experience working across teams spanning multiple orgs Experience with OSS components like Spark and Hadoop eco system Experience working with Azure service fabric Great curiosity and