Microsoft Office is at the center of Microsoft’s 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 hypothesis-driven 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:

　　Customer-obsessed (and helping everyone else live this)

　　Exceptional partners – designing and co-developing capabilities for and across dozens (to hundreds) of teams

　　Committed to continual learning and growing in building a high-trust, 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 state-of-the-art 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 self-serve 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 hands-on 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 (https://careers.microsoft.com/v2/global/en/accessibility.html) .