Are you an outstanding software engineer looking to tackle hard problems in the big data space? Are you interested in the challenges of building a large-scale, low latency data service to solve real world problems? Do you have significant interest in and/or experience with big data systems and functional style programming? And love open source technologies? Then the WDG Core Data team could be the right place for you! We recently built a large data science and engineering team in the Windows and Devices Group (WDG) to use insights from data to help create the best experiences on our devices, software, and services. Our team includes people with diverse multi-disciplinary backgrounds, engineering and analytical skills, relentless curiosity, and a motivation to impact product quality with data. Our team includes both data scientists who perform data modeling and analytics and data engineers who delivers data products and services. We're hiring for our data engineering group, called Data Integration
Power data-driven decisions to flight pre-release Windows and continuously update Windows in marketplace Enable Windows and Devices Group leadership to make strategic decisions Facilitate experimentations on Windows features and experiences Enable teams to take specific actions to improve Windows quality and experience based on comprehensive, cleansed, and enriched qualitative feedback data Power near real time alerting for RI self-host gates, Windows Insider experiences, and deployment to retail population Operationalize data science analyses based on cutting edge techniques in machine learning,
Required qualifications: BA in Computer Science or related engineering discipline. M.S./Ph.D. in relevant domain a plus 4+ years of experience developing and debugging Java, Scala, C# or C/C++ applications Preferred qualifications: Strong domain knowledge in at least one of the following areas: distributed systems, concurrency control, high availability, file systems, message queue, and cloud storage systems. Experience with Big data technologies such as Hadoop, Spark, Cosmos (internal Microsoft distributed computing and storage platform) and Elasticsearch as well as experience with SQL data warehousing,