Amazon.com Inc logo

Data Engineer, Partner Experience

Amazon.com Inc

  • Seattle, WA
  • 30+ days ago
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    Skills

    • Amazon Web Services (AWS)unmatched
    • Appleunmatched
    • Artificial Intelligence (AI)unmatched
    • Best Practicesunmatched
    • Big Dataunmatched
    • Computer Systemsunmatched
    • Content Delivery/Distributionunmatched
    • Corporate Policiesunmatched
    • Data Analysisunmatched
    • Data Lakeunmatched
    • Data Managementunmatched
    • Data Processingunmatched
    • Data Qualityunmatched
    • Data Setsunmatched
    • Data Warehousingunmatched
    • Design Documentunmatched
    • Documentariesunmatched
    • Filmunmatched
    • Information/Data Security (InfoSec)unmatched
    • International Operationsunmatched
    • Maintain Complianceunmatched
    • Marketingunmatched
    • Metricsunmatched
    • Product Designunmatched
    • Product Documentationunmatched
    • Regulationsunmatched
    • Regulatory Complianceunmatched
    • Rentalsunmatched
    • Scalable System Developmentunmatched
    • Software Engineeringunmatched
    • Sportsunmatched
    • Supply Chainunmatched
    • Technical Operationsunmatched
    • Time Managementunmatched
    • Video Productionunmatched

    Description

    Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports - including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads.

    Are you interested in shaping the future of entertainment? Do you want to invent, disrupt and redefine what entertainment means for fans, creators, and communities all around the globe?

    As part of the Prime Video team, you'll get to work on projects that are fast-paced, challenging, and varied. Also, you'll get to experiment with new possibilities, take risks, and collaborate with remarkable people.

    We'll look for you to bring your diverse perspectives, ideas, and skill sets to make Prime Video even better for our customers. With global opportunities for talented creatives, technologists, marketing professionals and so much more, you can decide where a career with Prime Video takes you!

    Prime Video"s Partner and Content Foundations (PCF) product and data organization obsesses over partners by delivering world-class tools that enable them to launch, grow, and scale their businesses across Prime Video"s business lines.

    PCF Data fulfills the data and analytics needs for the PCF organization by building scalable data infrastructure, automated pipelines, and trusted metrics that power supply chain analytics, catalog analytics, and content delivery measurement.

    The team owns core Catalog and Quality datasets, tracking content availability, on-time delivery, offer quality, and supply chain efficiency across Prime Video"s global operations. By producing quality data, providing actionable insights, and enabling self-service analytics, PCF Data drives data-driven decision-making across Product, Tech, and Operations, consistent with the goal of Getting, Keeping, and Delighting Prime Video Viewers.

    Key job responsibilities

    We are seeking a talented Data Engineer to enhance PCF Data"s core data infrastructure by implementing AWS services to build data pipelines, improve data accuracy, reduce latency, increase service stability, and ensure compliance with Amazon-wide data regulations. The Data Engineer will partner with Senior Data Engineers and SDE teams to design and maintain our Redshift-based data warehouse environment, building scalable architectures and migrating critical pipelines to serverless compute platforms. You will also contribute to AI enablement efforts, building the data foundations that power self-service analytics and AI-driven insight generation for our product teams.

    As a Data Engineer on the team, you will work with very large datasets in one of the world"s largest and most complex data lake and data warehouse environments. You will design, build, and maintain robust data infrastructure to process large volumes of data from various sources.

    • Writing clean, maintainable code that adheres to best practices
    • Leveraging AWS data processing services
    • Possessing broad knowledge of different data types and when to use them
    • Understanding data security and compliance standards to ensure alignment with company policies and regulations
    • Using GenAI to improve efficiency and accelerate delivery

    A day in the life

    Write the design document to propose the solutions to resolve challenging data processing and data handling.

    Meet with peers to discuss proposed solutions.

    Review design documents with product managers, senior management, and Senior SDEs to communicate your approach and gather feedback.

    Build data infrastructure and pipelines using AWS services.

    About the team

    We are a centralized data team supporting the Partner and Content Foundations. We process big data using advanced AWS services. We work closely with PMs, TPMs, SDEs, and Applied Scientists, and collaborate with other data teams outside of the Partner and Content Foundations organization to deliver products for Prime Video partners.

    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

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