Amazon Data Engineer Center Engineering Analytics 

United States, Georgia, Atlanta 

342307238

DESCRIPTION
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.Key job responsibilities
RESPONSIBILITIES
- Collaborate with Business Intelligence Engineering team members, engineering stakeholders, partner technical teams, and business stakeholders, to gather business and functional requirements, and translate these requirements into a robust, scalable, and operable data infrastructure that works well within the overall AWS data architecture, and leads to improved engineering decisions.
- Take ownership of data reliability by, among other things, performing deep-dives to find root causes of potential data anomalies, and taking subsequent action to address these anomalies.
- Continuously optimize the performance of data queries, and address extract, transform, load (ETL) procedures.
- Insist on the highest standards by recognizing and adopting best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
About the team
Why AWSDiverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred 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.
Work/Life BalanceInclusive Team CultureMentorship and 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.

- Bachelor's degree
- 3+ years of data engineering experience
- 3+ years of SQL experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS

- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
- 2+ years of reparation of data for direct use in visualization tools like Tableau experience