Data Engineer I AWS Infrastructure Supply Chain Intelligence

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.

We are looking for a talented Data Engineer to join the Manufacturing Operations Transportation Operations and Reverse (MOTOR) organization in support of our Supply Chain Intelligence team. MOTOR manages the manufacturing of datacenter racks and the movement of racks/parts through the supply chain consisting of transportation warehousing and reverse logistics into and out of the data centers. This role performs helps connect the different systems across the supply chain together so operational teams have clean actionable data to work with. This requires someone with strong analytic skills and business acumen who can work with stakeholders on strategic projects across MOTOR.

The ideal candidate relishes working with large volumes of data enjoys the challenge of highly complex technical contexts and above all else is passionate about data and analytics. Must be an expert working with data modeling with un/structured data ingestion pipelines and ETL design and business intelligence tools with the business to identify strategic opportunities where improvements in data infrastructure creates outsized business impact. Candidate is a selfstarter comfortable with ambiguity able to think big (while paying careful attention to detail) mentors other engineers in team on high quality tech and enjoys working in a fastpaced team. Candidate will have a chance to architect the data pipelines needed for optimization and predictive analysis. Were excited to talk to those up to the challenge!



Key job responsibilities
Build and maintain the infrastructure to answer questions with data using software engineering best practices data management fundamentals data storage principles recent advances in distributed systems and operational excellence best practices. Build datasets that analysts and scientists use to generate actionable insights.
Define the data engineering processes that leverage various AWS services to improve accessibility redundancy data integrity cost and storage requirements.
Develop high quality solutions for the faster development of the products/models that solve the business needs in a scalable format while also anticipating future requirements.
Collaborate with Research/Applied Scientists Data Engineers Business Intelligence Engineers Data Scientists Business Analysts and Product/Program Managers to understand the business and technical requirements and make decisions that help make the products/programs smoother.
Interface with other technology/data engineering teams to extract transform and load data from a wide variety of data sources using and AWS data technologies.
Lead the technical design and implementation of the data infrastructure.
Design and manage data audit quality and reconciliation processes in collaboration with various stakeholders.



About the team
This team provides data engineering and business intelligence engineering services to the rest of MOTOR. We are the data experts behind the scenes helping the operational teams focus on operations by ensuring they have accurate timely data and provide business insights to help improve operational excellence.

*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.

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 one or more scripting language (e.g. Python KornShell)

Experience with big data technologies such as: Hadoop Hive Spark EMR
Experience with any ETL tool like Informatica ODI SSIS BODI Datastage etc.

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $91200/year in our lowest geographic market up to $185000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.