Software Engineer

Come build community, explore your passions and do your best work at Microsoft. This opportunity will allow you to bring your aspirations, talent, potential - and excitement for the journey ahead.

About the team:

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 via the data API every day by streaming/batches, from instrumentation to analytics. Besides, modern open-source technologies such as Spark, Starrocks, and Click House are widely used in the team to run the big data business successfully. 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 data engineers to join us for the mission of powering Microsoft businesses through data substrate and infusing our data capabilities to the industry.  

• We are looking for a Software Engineer who can design, develop, and maintain data pipelines and applications using Spark, SQL, map-reduce, and other technologies on the Big Data Platform.  

• 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

Required Qualifications

• Bachelor's Degree in Computer Science, or related technical discipline with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Scala, Python
  • OR equivalent experience

Preferred Qualifications

• Strong knowledge and experience with Spark, Flink, or other data processing frameworks. At least 1 years of experience in data engineering, data analysis, or software development.  
• Proficient in Java, Scala or at least one programming language (Python, Scala, Java, C#, etc.).  
• Experience with data modeling, data warehousing, and ETL techniques; Experience with cloud platforms and services, such as Azure, etc; Experience with CosmosDB or other NoSQL databases is a plus.  
• Fluent in English, both written and spoken, is a plus. 

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

• Develop and optimize data pipelines and applications using Spark, Flink, and other frameworks on the Windows platform.  
• 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 (Spark/Kafka/Click House/Kylin, etc.)