Are you passionate about shaping the future applications of AI and empowering millions of users to unlock their full potential? The OneNote team is at the forefront of an exciting transformation with Copilot Notebooks: intelligent, dynamic notebooks infused with powerful AI that act as a true "second brain." Imagine effortlessly capturing ideas, intuitively understanding complex information, and seamlessly taking informed action. This is the heart of our mission.As a
Senior Data Engineer
working in OneNote team, your core mission is to contribute on Product Analytics/Intelligence and building Data Engineering pipelines for Copilot Notebooks and OneNote. You’ll be responsible for building high quality and scalable data engineering pipelines to provide insights to enable data driven decision making part of the product analytics/intelligence for the products Copilot Notebook and OneNote.This opportunity will allow you to work in an exciting and fast-paced environment, collaborating closely with teams across multiple organizations and ship products globally. You will be able to take part in the growth journey of incredible products like Copilot Notebook. You’ll have the opportunity to work teams developing the latest models, research and ML techniques that you can bring to the product teams, as well as opportunities to contribute back to the scientific community (via presentations etc).Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Responsibilities
- Work within and across teams to solve complex technical challenges.
- Develop engineering best-practices – continuously evaluate our processes and reporting to identify opportunities to improve, enhance, and automate existing and new capabilities with a fundamental understanding of the end-to-end scenario.
- Ability to use judgement and rating schemes to turn qualitative information into quantitative estimates.
- Proficiency in scenario analytics, mining for insights.
- Measure the success and usage patterns of the product / feature at various levels as well as key engineering metrics.
- Contribute to a data-driven culture as well as a culture of experimentation across the organization.
- Creating dashboards in Power BI and Azure Data Explorer.
- Provide thought leadership, creation, and execution on data platform capabilities.
- Grow & foster an inclusive, creative, high-performance team culture.
- Coach & mentor other team members.
Qualifications
Required Qualifications:
- Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 8+ years experience in business analytics, data science, software development, data modeling, or data engineering
- OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 8+ years experience in business analytics, data science, software development, data modeling, or data engineering
- OR equivalent experience.
- 8+ years’ experience in business analytics, data science, software development, data modeling, or data engineering.
- Experience working with cloud-based technologies, including relational databases, data warehouse, big data (e.g., Hadoop, Spark), orchestration/data pipeline tools, data lakes.
- Self-motivated and organized to deliver results.
Other Requirements
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Preferred Qualifications
- Experience with Azure Analytics stack, e.g., Azure Data Lake, Azure Data Factory, Azure Synapse, Azure Data Explorer (Kusto), Azure Cosmos DB, Azure logic apps, Fabric/Power BI.
- Experience in modern DevOps practices (including Git, CI/CD).
- Good interpersonal and communications (verbal and written) skills, including the ability to effectively communicate with both business and technical teams.
- Ability to use judgement and rating schemes to turn qualitative information into quantitative estimates.
- Proficiency in scenario analytics, mining for insights.
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.
