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Microsoft Data Engineer II 
Taiwan, Taoyuan City 
199508924

02.09.2025


As a, you’ll help build and deliver business intelligence for experiences running on 1.5 billion Windows devices. You’ll partner closely with Data Scientists and Analysts to understand their challenges and design next-generation platforms and solutions that make decision-making seamless and scalable.


Required Qualifications:

  • Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR equivalent experience.
  • Proven coding and debugging skills in C#, C++, Java, or SQL.
  • Ability to work and communicate effectively across disciplines and teams.
  • Familiarity with distributed data processing and analysis, such as Map-Reduce or Apache Spark.
  • 2+ years of experience in data engineering.
  • Understanding and experience with data cloud computing technologies such as – Azure Synapse, Azure Data Factory, SQL, Azure Data Explorer, Power BI, PowerApps, Hadoop, YARN, Apache Spark.
  • Excellent analytical skills with systematic and structured approach to software design.
Responsibilities
  • Authoring and design of Big Data ETL platforms and pipelines in SCOPE, Scala, SQL, Python, or C#.
  • Data extraction across a wide variety of data sources.
  • Data cleaning, preprocessing, and transformation for further analysis by data analysts.
  • Data Validation framework from source to endpoints ensuring data quality and integrity.
  • Enable the Data Scientists and Analysts to do more with data across all aspects of the development lifecycle.
  • Contribute to a data-driven culture as well as a culture of experimentation across the organization.
  • Provide new and improve upon existing data platform offerings with a fundamental understanding of the end-to-end scenarios.
  • Enable Data Scientists and other partners to do more with data across all aspects of the development lifecycle by helping democratize data.