Data Engineer, Global Logistics Product Analytics Team

About the role

Join Amazon's 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. You'll design and implement robust ETL pipelines, experiment with generative AI tools, and continuously refine our data ecosystem to support critical business decisions.

Basic Qualifications

• 3+ years of data engineering experience
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using Oracle experience
• 3+ years of in the job offered or a related occupation experience
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using each of the following: ETL (Extract, Transform, Load)/ELT (Extract, Load, Transform) processes experience
• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field
• Experience with data modeling, warehousing and building ETL pipelines

Preferred Qualifications

• 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)

Additional information

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Pay and benefits

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.

USA, WA, Bellevue - 132,100.00 - 178,800.00 USD annually