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 three core pillars: Modernize and advance Engineering systems to improve the overall agility of the organization. Advanced data Insights and ML/AI based insights and recommendations externally to our customers and internally for the business and the engineering
As an Engineering Manager for the Advanced Data Insights team, you will be leading a team of highly motivated and skilled Engineers to drive the Big data organization towards embracing data driven culture on all dimensions, i.e. Service quality, Business growth and Customer Satisfaction.
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 10+ years of successfully leading Engineering teams. Preferred Qualifications: Experience with OSS components like Spark and Hadoop eco system. Experience with leveraging ML and AI for Analytics Great curiosity and willingness to question High enthusiasm, integrity, ingenuity,