Senior Software Engineer at Microsoft

Senior Software Engineer Details

Jan. 9, 2019, 10:34 p.m.
Engineering
Individual Contributor
Full-Time
Redmond, WA
helping Microsoft team Core Services Engineering
Overview: Core Services Engineering builds and manages the critical products and services that Microsoft runs on. We boldly pursue big ideas that power transformational advances at Microsoft, and for our customers, while helping Microsoft teams work smarter, faster, and more securely every day. Core Services Engineering employees have deep technical and business expertise, customer insights, and a clear point of view that comes from first-hand, large-scale experience with Microsoft and industry solutions. We are engineers, technology leaders and experts, digital transformation change agents, and customer advocates. Microsoft's Retail Store Engineering team is looking for a highly motivated and deeply experienced self-driven, Data engineer or analytical Business Intelligence professional. Top candidates have a demonstrable record of building a analytical product and have great business impact using Data and Analytical platform, experimental based on data, data mining, data visualization,

Responsibilities: • Design implement and support Retail store Analytical platform that will enable store insights to analyze and measure the Microsoft store performance. • Developing Data Ingestion pipelines to acquire and integrate data from diverse sources like Azure Data Lake, Kusto, SQL Server, Cosmos, flat files etc. • Create Near Real Time Data Mart to support business operational requirement. • Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation. • Continually improve ongoing reporting and analysis processes,
Qualifications: • Engineering experience building big data solutions and using large data systems on SQL, Hadoop, Spark, etc. • Experience in building data pipelines, data modeling, and Data warehousing, and online and offline line analytics Knowledge with key data science areas such as machine learning, deep learning, anomaly detection, predictive analysis, text analysis, exploratory data analysis, and statistical analysis. • Proficiency in C#, Python, Scala, U-SQL, MATLAB, ability to leverage APIs, and other relevant data science and data analytical tools. • Experience in Data Mining, Machine
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