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Data Engineer II, AWS Analytics Engineering

Amazon.com Inc
  • Seattle, WA
    23 days ago

    Job Description

    The AWS Analytics Engineering (AAE) organization is the analytics backbone of AWS - we build and operate the data platform that powers business decisions across more than 150 AWS services. Every insight surfaced to AWS product leadership, from service adoption trends to revenue drivers, flows through systems our team designs, builds, and maintains.

    We operate at massive scale - processing petabytes of data daily through thousands of jobs consisting of transformations, reporting queries, ingestions, and infrastructure management scripts. As AWS launches new services and features at an accelerating pace, the need for a unified, self-service Data Ingestion Platform has become critical.

    We are seeking a Data Engineer to join our Data Ingestion Platform team. In this role, you will design, build, and operate the next-generation ingestion service that automatically onboards data from any new AWS service or feature at launch - without manual intervention. You will build scalable ingestion frameworks capable of handling petabytes of data, implement big data procurement pipelines, and establish the governance, compliance, and audit controls that ensure every data flowing through the platform meets AWS's security and data integrity standards.

    The platform you build must scale to N services - meaning that as AWS's service portfolio grows, your ingestion infrastructure grows with it. You will work on event-driven architectures, self-registration mechanisms, and configuration-driven onboarding so that new data sources are ingested automatically, reliably, and with full lineage and audit trails.

    The ideal candidate is a strong engineer who is passionate about building platforms, thinks in terms of frameworks and abstractions rather than one-off pipelines, and is excited about building the foundational layer that enables all of AAE's analytics capabilities.

    Numbers & Facts

    LocationSeattle, 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

    • Adoptionunmatched
    • Amazon Web Services (AWS)unmatched
    • Big Dataunmatched
    • Data Managementunmatched
    • Data Processingunmatched
    • Data Qualityunmatched
    • Financial Trend Analysisunmatched
    • Leadershipunmatched
    • Onboardingunmatched
    • Purchasing/Procurementunmatched
    • Scalable System Developmentunmatched
    • Scripting (Scripting Languages)unmatched

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