AWS Utility Computing (UC) is at the forefront of cloud innovation, providing foundational services like S3 and EC2. The AWS Data Platform team is seeking a Senior Data Engineer to join their Data Lake team, working on systems that process billions of daily transactions. This role combines technical expertise with business acumen, requiring deep knowledge in data platform design and ETL processes. You'll work with AWS's comprehensive suite of big data technologies, including Redshift, EMR, and Spark, to build scalable solutions that help customers understand their cloud usage.
The position offers significant growth opportunities within Amazon's data-driven culture. You'll shape AWS's data lake architecture, collaborate with business stakeholders, and mentor team members. The role demands expertise in large dataset management and ETL pipeline development, with opportunities to work on cutting-edge big data technologies.
Amazon provides a supportive environment with formal mentorship programs, work-life harmony, and an inclusive culture fostered through employee-led affinity groups. The company values diverse experiences and backgrounds, encouraging applications from candidates with non-traditional career paths.
As part of the UC organization, you'll contribute to services that power thousands of developers worldwide, making trillions of transactions. The role combines technical challenges with business impact, offering the chance to work on solutions that scale with AWS's growing data volumes. This position is ideal for someone passionate about big data who wants to impact cloud computing's future while growing professionally in a supportive environment.