Consumer Sales and Marketing Engineering is the primary engineering partner for the Microsoft Stores and Microsoft Consumer business. We're the engineering team that builds the technologies that enables our stores to be the public face of Microsoft, where every individual, community, and business can directly experience all that's possible with Microsoft. CSME has an opening for a highly motivated software engineer that will be responsible for extending and enhancing our Data and Analytics platform. You will be responsible for driving the design, development and implementation of Big Data Solutions for store operations. As part of your work, you will contribute to digitally transform stores and be part of success of over 100 stores across the world and empower store associates to deliver the best service to engage customers. We are looking for someone that has a passion to help shape our brick and mortar stores and help promote the Microsoft brand by delivering best in-class store experiences
Effectively partner with stakeholders to formulate approaches to solve problems using algorithms and models. will use data exploration techniques to discover new opportunities within your problem area. Interpret the results of analyses, validate approaches, and learn to monitor, analyze, and iterate to continuously improve Serve as a subject matter expert on the Data Engineer to guide data-driven decision making. Partner with engineering teams across Microsoft to evaluate tools that can be leveraged for analyzing data at scale. Partner with fellow engineering teams to build smart, self-healing
Basic Qualifications: 3+ years software engineering experience BS/MSc in Computer Science, Statistics, Mathematics, or related sciences - or equivalent work experience. Preferred Qualifications: Experience working through full product cycles from initial design to final product and shipping on time Proficiency in C# or Python or U-SQL or similar programming languages, ability to leverage APIs and strong debugging skills Engineering experience building big data solutions, large-scale data processing using Hadoop, Spark, U-SQL etc. Experience with Azure big data platform including Azure Data Factory,