Data Engineer II - Microsoft

Microsoft Office is at the center of Microsofts efforts to empower our users to do more. Across mobile web and desktop empowering users to create edit and interact with their documents embracing a core belief that you should have the best of breed experience irrespective of device. The Data Insights and Growth (DIG) team part of the Office Fuel organization powering engineering capability and customer lifecycle builds transformative capabilities that help Microsoft teams immerse in understanding protecting and empowering the customer via data. We deliver innovative modern data solutions and services which enable new Office experiences at service velocity intelligent analysis and richly informed hypothesisdriven agility driving business success through customer engagement and satisfaction.

We offer a fantastic and fun team environment with commitment to people inclusion. We celebrate team cultural values of being:

• Customerobsessed (and helping everyone else live this)
• Exceptional partners designing and codeveloping capabilities for and across dozens (to hundreds) of teams
• Committed to continual learning and growing in building a hightrust collaborative diverse and deeply inclusive team environment.

We are looking for an experienced Data Engineer to join our Insights team in DIG. We empower Office Engineering Teams with Data and Insights to let them respond to customer feedback steer future investments and ensure our customers have the best experience possible daily. We leverage stateoftheart Azure technologies for big data processing tech that is available internally and open source/Azure technologies such as Synapse Spark Azure Data Lake Azure Data Explorer Azure Data Factory etc. Great opportunity to impact millions of Office Customers shape the data analytics platform and systems architecture and contribute to the success of Office product group.

Responsibilities

• ontribute to the strategy vision architecture and execution for our data platform and selfserve data analytics systems
• Build data processing pipelines that are both efficient and reliable by leveraging a variety of technologies such as Azure Data Factory Azure Synapse Azure Data Explorer Azure Data Lake Store Gen 2 Cosmos & Scope Scripts ClickHouse Superset and other technologies
• Collaboration with Office Engineering teams to fulfill the data requirements to meet the needs of internal and external partners ultimately contributing to the consumer user growth
• Collaboration with the Data Science team in building and productizing the data science models for Growth User Lifecycle including acquisition and engagement needs

Qualifications

• Bachelor/Master degree in Mathematics Statistics Data science Computer Science Computer Engineering or related field
• 2 years of handson experience with big data technologies as well as data analytics tools SQL or any querying language Data Engineering technologies ETL
• Experience with coding in languages including but not limited to C C C# Java JavaScript or Python
• Excellent data visualization skills to be able to present insights that drive business impact

• Excellent communication & collaboration skills

Microsoft is an equal opportunity employer. Consistent with applicable law all qualified applicants will receive consideration for employment without regard to age ancestry citizenship color family or medical care leave gender identity or expression genetic information immigration status marital status medical condition national origin physical or mental disability political affiliation protected veteran or military status race ethnicity religion sex (including pregnancy) sexual orientation or any other characteristic protected by applicable local laws regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process read more about requesting accommodations.