Does pioneering new and innovative ways to collect and showcase key customer data sound exciting to you? Are you passionate about data and do you feel we've been missing the opportunity to be more data-informed at Microsoft? Do you want to contribute to an effort that is one of the most critical for the future success of M365 and E+D? If so, the M365 Insights, Data Engineering and Analytics team might be an excellent place for you to grow your career. M365 is at the core of our Company's mission to enable people and organizations to achieve more. Be part of the team building platform services handling millions of users and exabytes of data. This is not just some large-scale web service: the implementation ranks among the world's largest and state of the art distributed systems, spanning across data centers around the world. The M365 Insights, Data Engineering and Analytics team's goal is to champion a data-informed culture; to inspire and enable the entire E+D organization to make more
As part of our team, you would be responsible for the technical leadership and end-to-end development of the data solutions that will help M365 gain the strategic insights we need to deliver the most optimal user experience and to quickly adapt to market conditions that are constantly evolving. You will also apply your engineering and analytical skills to petabyte scale data problems using the latest and most modern data analytics technologies on a ever-increasing number of data signals produced by the different products part of the M365 suite and our partners across the company. In this position
Required Qualifications: Bachelor's degree required; BSCS or higher strongly preferred. At least 5 years' experience in software engineering, programming or development. Software programming experience in C#, Java, or C++. Experience with at least one of the following scripting languages: PowerShell, Python, Perl, JavaScript or Ruby (for data manipulation and automation tasks). Preferred Qualifications: E xperience with Azure Data Factory, Azure SQL Data Warehouse, Cosmos, Kusto and other big-data related technology stacks. Experience with data analytics and visualizations (e.g., Power BI, Azure