Data Engineer II, Managed Operations Engineering & Data Science (MOEDS)

AWS Managed Operations (MO) is seeking a Data Engineer II to join their innovative team focused on reducing operational load through long-term engineering projects. Founded in April 2023, MO aims to improve the availability, reliability, and efficiency of AWS regions. As part of a small, innovative lab, you'll work with Data Science & Data Engineering teams to harness data science for identifying operational trends across AWS.

The role involves developing robust data models, building scalable pipelines, and working closely with business teams to drive high-value investment decisions. You'll be part of AWS's Utility Computing (UC) organization, supporting foundational services like S3 and EC2, while contributing to product innovations that set AWS apart in the industry.

AWS offers a supportive environment emphasizing work-life harmony and inclusive culture. You'll find opportunities for knowledge-sharing, mentorship, and career growth. The company values diverse experiences and encourages applications from candidates with non-traditional backgrounds.

Key technical requirements include 3+ years of data engineering experience, expertise in data modeling and ETL pipelines, and proficiency in languages like Python, Java, or NodeJS. You'll work with various AWS technologies including Redshift, S3, AWS Glue, and EMR.

This position offers the chance to make a billion-dollar impact while working with cutting-edge cloud technologies in a team dedicated to operational excellence. Join AWS to be part of shaping the future of cloud computing while growing your career in a supportive, innovative environment.