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Data Engineer, Global Logistics Product Analytics Team

Amazon.com Inc
  • Bellevue, WA
    2 days ago

    Job Description

    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.

    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 Amazon"s global supply chain.

    Numbers & Facts

    LocationBellevue, WA
    IndustryRetail
    Company Size10,000 employees or more
    Year Founded1994
    Websitehttp://Amazon.com/militaryroles

    About Company

    At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

    Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

    It’s Always Day 1
    At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

    Our Leadership Principles
    Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles

    Skills

    • AWS Lambdaunmatched
    • Amazon Simple Storage Service (S3)unmatched
    • Amazon Web Services (AWS)unmatched
    • Analysis Skillsunmatched
    • Artificial Intelligence (AI)unmatched
    • Business Intelligenceunmatched
    • Business Operationsunmatched
    • Business Supportunmatched
    • Continuous Deployment/Deliveryunmatched
    • Continuous Improvementunmatched
    • Continuous Integrationunmatched
    • Cross-Functionalunmatched
    • Data Administrationunmatched
    • Data Lakeunmatched
    • Data Managementunmatched
    • Data Qualityunmatched
    • Database Extract Transform and Load (ETL)unmatched
    • Ecosystemsunmatched
    • Instrumentationunmatched
    • Logisticsunmatched
    • Logistics Analysisunmatched
    • Performance Analysisunmatched
    • Problem Solving Skillsunmatched
    • Quality Monitoringunmatched
    • Scalable System Developmentunmatched
    • Supply Chainunmatched
    • Systems Administration/Managementunmatched
    • Team Playerunmatched

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