Amazon Data Engineer Infrastructure Science 

United States, Washington, Seattle 

950548655

You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.Infrastructure Science builds world-class machine learning power models, and software enabled backstops to ensure the health of our thermal and electrical infrastructure at high infrastructure utilization.As a Data Engineer, you will work on our Science team and partner closely with other Data Engineers, Data Scientists, BIEs, Technical Program Managers, and Software teams to create data pipelines that are used to optimize power, cooling, and supply chain decisions for AWS Infrastructure. You will be responsible for synthesizing data across our organization in a data warehouse environment. This job is able to be located in Seattle, SJC, or DC.You have a passion for Excellence. You have a proven track record of building the right Data Engineering solutions that scale, provide high availability, and require minimal maintenance. You write code that is clean, readable, and straight forward.
A day in the lifeAbout AWSDiverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- 1+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)

- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with database, data warehouse or data lake solutions