Data Engineer Data Center Engineering Analytics

DESCRIPTION
Amazon is looking for a highly analytical Data Engineer to join the AWS Data Center Engineering team. The Data Center Engineering team owns the availability of AWS data centers and has a direct impact on the customer experience. We obsess over customers by developing the most advanced engineering solutions that result in world class uptime while continuously reducing costs for our customers. Amazon offers a fast paced fun and exciting work environment. We continue to grow at exponential rates and are looking for individuals that can support our speed to market enjoy a challenge and have a desire for professional growth and continuous learning experiences.


As a Data Engineer you will partner with Business Intelligence Engineers and partner teams to build data pipelines and solutions to harness the vast amount of operational data from the AWS fleet. You will own the timely delivery of such data for use in downstream business intelligence solutions as well as all necessary actions to ensure the reliability of data provided for business decision making. Data analysis is at the core Amazons culture and your work will have a direct impact on decision making and strategy for our organization.


The ideal candidates will have excellent analytical abilities intense curiosity and strong technical skills. They will have a strong bias toward data driven decision making and building scalable data pipelines and systems to facilitate such decision making. They will be a selfstarter; comfortable with ambiguity; able to think big and be creative while exercising strong judgment and good instincts to be right a lot. The ideal candidate is motivated by delivering highquality and innovative solutions within timeframes that most think are impossible. If you are excited about using data to look around corners and drive engineering solutions that are the foundation of AWS data centers this role is for you!

AWS Infrastructure Services owns the design planning delivery and operation of all AWS global infrastructure. In other words were the people who keep the cloud running. We support all AWS data centers and all of the servers storage networking power and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems with thousands of variables impacting the supply chain and were looking for talented people who want to help.

Youll join a diverse team of software hardware and network engineers supply chain specialists security experts operations managers and other vital roles. Youll 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 youll 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.
Develop a deep understanding and awareness of operational data from the AWS fleet and build mechanisms for retrieving and aggregating such data for use by downstream business intelligence solutions.
Develop a deep understanding of our vast data sources and provide continuous recommendations for use to solve specific business problems.
Take ownership of data reliability by among other things performing deepdives 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 AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Diverse 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 hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Work/Life Balance
We value worklife harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.
Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employeeled affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing mentorship and other careeradvancing resources here to help you develop into a betterrounded professional.


Bachelors 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 nonrelational databases / data stores (object storage document or keyvalue stores graph databases columnfamily databases)
2 years of reparation of data for direct use in visualization tools like Tableau experience

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.