Senior Software Engineer at Microsoft

Senior Software Engineer Details

April 23, 2019, 10:56 p.m.
Individual Contributor
Redmond, WA
and business team Big Data platforms
Do you have a passion for building Big Data platforms and delivering key insights and learning on those platforms? A desire to transform the BI ecosystem within Cloud + AI (C+AI) using Azure customer insights about Azure revenue, consumption, and influencers? What about working directly with engineering counterparts and finance and business teams across the company to regularly report to senior Microsoft leadership and make an impact on how products and services are developed, operationalized and monetized? The goal of the C+AI Intelligence Platform team is to champion a data forward culture, to enable the entire organization to make more informed decisions, and to gain insights about customers through data. As the volume of data and the demand for solutions grows, we need a strong and experienced software engineer who can design and develop Big Data platforms. We are a team who values diversity, collaboration, and learning from each other.

As a senior member of the team, you will play a key role in technical communication, coordination, and alignment across product teams. You will partner with Program Managers and other teams across Microsoft to address complex issues, fully understand customer needs, and deliver solutions that exceed our customer's expectations. You will have the opportunity to perform in a technical lead role for projects, mentor junior engineers, and contribute to our processes and culture in such a way that is consistent with a premier engineering organization. You will design and develop key ingredients for
Required: • Bachelor's degree in Computer Science, Engineering, Business Information Systems, or related field. • 5+ years of experience in design, coding, testing, and investigation of customer facing systems in C# and SQL. Preferred: • SQL, Spark, Hadoop ecosystem, ADF, or similar experience. • 3+ years of development experience with cloud computing technologies. • Excellent design and analytical skills, with a strong bias for quality and engineering excellence at scale. • Technical know-how, ability to quickly adapt to new technology and go deep in new focus areas. • Proven ability to drive
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