Member of Technical Staff - Data Engineer at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

03 Mar, 26

Salary

0.0

Posted On

03 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Data Pipelines, Python, Java, Spark, SQL, Apache Hadoop, Kafka, NoSQL, Data Governance, Data Compliance, Data Security, Cloud Infrastructure, Distributed Systems, Technical Issue Resolution, Clean Code, Interpersonal Skills

Industry

Software Development

Description

Build scalable data pipelines for sourcing, transforming and 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 our Culture and Values. Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling or data engineering work OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, or data engineering work OR equivalent experience. 4+ years technical engineering experience building data processing applications (batch and streaming) with coding in languages including, but not limited to, Python, Java, Spark, SQL. Experience working with Apache Hadoop eco system, Kafka, NoSQL, etc. 3+ years experience with data governance, data compliance and/or data security. 2+ years' experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP. Extensive use datastores like RDBMS, key-value stores, etc. 2+ years' experience building distributed systems at scale and extensive systems knowledge that spans bare-metal hosts to containers to networking. Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience. 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. Interest in learning new technologies and 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.

Responsibilities

Build scalable data pipelines for sourcing, transforming, and publishing data assets for AI use cases. Collaborate with engineers and researchers to develop next-generation data platform products and services.