Are you an engineering leader 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 engineering? And love open source technologies? Then the Cosine Data team could be the right place for you! We are part of a larger data science and engineering team in the Core OS and Intelligent Edge group 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 and Insights (DII)
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: Bachelor's degree or higher in related subject or equivalent experience 10+ years software engineering experience 5+ years software engineering experience with 2+ of the following: Cosmos (internal Microsoft distributed computing and storage platform) Azure HDInsight and other cloud services Big data technologies such as Hadoop, Spark, and Elasticsearch SQL data warehousing Preferred qualifications: Strong problem solving and algorithmic thinking capability Creativity to find pragmatic paths through ambiguity Ability to communicate and collaborate with people representing