Job Description

The Windows Data Team is responsible for developing and operating one of the world's largest data eco-systems: PiB data is being processed, stored and accessed every day. In addition to Azure, Fabric, and Microsoft offerings, the team also utilizes modern open-source technologies such as Spark, Starrocks, and ClickHouse. Thousands of developers in Windows, Bing, Ads, Edge, MSN, etc. are working on top of the data products that the team builds. We're looking for passionate engineers to join us for the mission of powering Microsoft businesses through data substrate and infusing our data capabilities into the industry.

We are looking for a

Principal Software Engineering Manager

who can lead a team to design, develop, and maintain data pipelines and applications using Spark, SQL, map-reduce, and other technologies on our big data platforms. You will work with a team of data scientists, analysts, and engineers to deliver high-quality data solutions that support our business goals and customer needs. You will also collaborate with other teams across the organization to ensure data quality, security, and compliance.

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

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Lead a team of software developers to develop and optimize data pipelines and applications using Spark, Cosmos, Azure, SQL, and other frameworks. Implement data ingestion, transformation, and processing logic using various data sources and formats. Perform data quality checks, testing, and debugging to ensure data accuracy and reliability. Document and maintain data pipeline specifications, code, and best practices. Research and evaluate new data technologies and tools to improve data performance and scalability. Work with world-class engineer/scientist team on Big Data, Analytics and OLAP/OLTP. Embrace both Microsoft technology and cutting-edge open-source technology.

Qualifications

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Required Qualifications:

Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python + OR Master's Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
+ OR equivalent experience.
4+ years people management experience. Demonstrate working knowledge of cloud and distributed computing platforms such as Azure or AWS. Strong knowledge and experience with Map Reduce, Spark, Kafka, Synapse, Fabric, or other data processing frameworks. Fluent in English, both written and spoken.

Preferred Qualifications:

Experience with CosmosDB or other NoSQL databases is a plus. Experience in data engineering, data analysis, or data related fields. Experience with data science and ML tools such as Scikit-learn, R, Azure AI, Pyspark, or similar. Experience with data modeling, data warehousing, and ETL techniques. Experience in designing, developing, and shipping services with secure continuous integration and continuous delivery practices (CI/CD). Relational and/or non-relational (NoSQL) databases. C/C++ and lower-level languages are a plus.


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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.