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Data Engineer, Whole Foods Market, E-commerce Analytics

Amazon.com Inc

  • Austin, TX
  • 19 days ago

    Highlights

    Collaborate with Data Scientists to implement advanced analytics algorithms that exploit our rich data sets for statistical analysis, prediction, clustering and machine learning. In this position, you will be responsible for architecting robust data infrastructures and developing advanced data pipelines to unlock the full potential of our expansive data landscape.

    Numbers & Facts

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

    Description

    We are seeking a Data Engineer to join the Product & E-commerce Analytics team supporting Whole Foods Market"s (WFM) digital presence. In this position, you will be responsible for architecting robust data infrastructures and developing advanced data pipelines to unlock the full potential of our expansive data landscape.

    Key job responsibilities

    • Help build the infrastructure that powers data-driven decision making. Utilize software engineering best practices, data management fundamentals, data storage principles, and recent advances in distributed systems.
    • Manage and optimize usage of cloud computing resources, particularly on AWS, to support data infrastructure.
    • Collaborate with Business Intelligence Engineers to establish best practices for data reporting, analysis, integrity, testing, validation, and documentation.
    • Collaborate with Data Scientists to implement advanced analytics algorithms that exploit our rich data sets for statistical analysis, prediction, clustering and machine learning.
    • Drive the architecture and technology decisions that enable a world-class user experience.
    • Develop in-depth knowledge of the Amazon"s various data sources to determine the appropriate data resources for each use case.
    • Encourage the organization to adopt next-generation data architecture strategies, proposing both data flows and storage solutions
    • Thrive in an environment with a degree of ambiguity, quickly building proof of concepts, iterating, and improving data-driven solutions.
    • Create extensible designs and easy to maintain solutions with the long term vision in mind.
    • Have an understanding and empathy for business objectives, and continually align your work with those objectives and seek to deliver business value.

    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

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