Microsoft Member Technical Staff - Data Engineer 

Taiwan, Taoyuan City 

490533559

to build systems that have true artificial intelligenceacross agents, applications, services, and infrastructure.so that everyone can realize its benefits.

is responsible for

By applying to this U.S. New York, New York OR Mountain View, CA OR Redmond, WAposition, youare required tobe local to the New York OR San Francisco OR Seattle area and in office 3 days a week.

Required Qualifications:

• Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+years experienceinbig data engineering, data modelinganddatapipelineengineering work
  • ORMaster's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ year(s) experience in software development, or data engineering work
    • OR equivalent experience.
• 5+ years technical engineering experience building data processing applications (batch and streaming) with coding in languages including, but not limited toScala,Python, Java, Spark, SQL.
• 2+ years' experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP. Extensiveusedatastores like RDBMS, key-value stores, etc.
• 2+ years' experience building distributed systems at scale and extensive systemsengineeringknowledge
• Extensive experience working withSparkframework,Apache Hadoop eco system, Kafka, NoSQL, etc.

Preferred Qualifications:

• Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 10+years experiencein big data engineering, data modeling and data pipeline engineering work
  • ORMaster's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ year(s) experience in software development, or data engineering work
    • OR equivalent experience.
• Ability toidentify, analyze, and resolve complex technical issues, ensuringoptimalperformance, scalability, and user experience.
• Architecting, Designing and building data platforms preferably in AI domain
• Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security.
• Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers.
• Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders.
• Passion for learningnew technologiesand staying up to date with industry trends, best practices, and emerging technologies in web development and AI.
• Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.
• Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

• Build scalable data pipelines for sourcing,transformingand publishing data assets for AI use cases
• Work collaboratively with other Platform, infrastructure, application engineers as well as AI Researchers to build next generation data platform products and services.
• Ship high-quality, well-tested, secure, and maintainable code.
• Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.
• Enjoy working in a fast-paced, design-driven, product development cycle.
• Embody ourCultureand