Data Engineer, Global Logistics Product Analytics Team

Join Amazons Global Logistics Product Analytics team and help shape the future of data-driven decision-making at scale. We are building a centralized data lake across our Global Logistics imports organization and developing the foundation for Gen-AI powered initiatives that empower stakeholders with real-time insights. As a Data Engineer on our team you will design and deliver production-ready data systems that directly influence how Amazon moves products around the world.

Key job responsibilities
- Design build and maintain scalable ETL pipelines and CI/CD infrastructure to support business and operational performance reporting
- Manage and administer data platforms built on AWS services including Redshift Kinesis S3 and Lambda
- Develop and improve data architecture data quality monitoring and data availability across the organization
- Build and experiment with Gen-AI tools such as AWS Bedrock to support intelligent data solutions
- Partner with Business Intelligence Engineers Product Managers and other data roles to enable data-driven program decisions
- Develop scalable frameworks for data instrumentation in collaboration with partner tech teams
- Continuously improve self-service reporting and analysis processes for internal customers

A day in the life
Your day will be dynamic and impactful involving collaborative work with cross-functional teams to develop sophisticated data architectures. Youll design and implement robust ETL pipelines experiment with generative AI tools and continuously refine our data ecosystem to support critical business decisions.

About the team
The Global Logistics Product Analytics team is dedicated to transforming logistics operations through innovative centralized data solutions. We value technical creativity collaborative problem-solving and the ability to turn complex data into clear insights. Our team is building the data foundation that powers intelligent data-driven strategies across Amazons global supply chain.

- 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 an equal opportunity employer and does not discriminate on the basis of protected veteran status disability 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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at WA Bellevue - 101300.00 - 160000.00 USD annually

Required Experience:

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