Amazon.com Inc logo

DE, Amazon Talent Solutions, ITDS Data Foundations

Amazon.com Inc
  • Seattle, WA
    3 days ago

    Job Description

    There are now more than 1.3 million Amazonians worldwide. As part of People eXperience and Technology organization, the Amazon Talent Solutions team's mission is to create innovative, science-based, and inclusive products and experiences for all Amazonians to help us become "Earth's Best Employer."

    We are seeking a highly motivated Data Engineer for a cross functional Data Foundations team in the Integrated Talent Development Systems (ITDS) organization. In this role, you will define and deliver streaming and batch ingestion architectures that unify service data domains into a cross-cutting talent data model that is vended for both analytics and operational use cases, powering 100s of downstream integrations. This role requires deep expertise with data processing, storage, and vending technologies. You will explore the cutting edge and apply it to solve scale and performance challenges inherent to horizontal data services.

    Key job responsibilities

    As a Data Engineer, you will/may:

    • Design, implement, and automate deployment of our distributed system for collecting and processing log events from multiple sources.
    • Design data schema and operate internal data warehouses and SQL/NoSQL database systems.
    • Own the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards that engineers, analysts, and data scientists use to drive key business decisions.
    • Monitor and troubleshoot operational or data issues in the data pipelines.
    • Drive architectural plans and implementation for future data storage, reporting, and analytic solutions.
    • Develop code based automated data pipelines able to process millions of data points.
    • Improve database and data warehouse performance by tuning inefficient queries.
    • Work collaboratively with Business Analysts, Data Scientists, and other internal partners to identify opportunities/problems.
    • Provide assistance with troubleshooting, researching the root cause, and thoroughly resolving defects in the event of a problem.

    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

    • Analysis Skillsunmatched
    • Architectural Servicesunmatched
    • Business Analysisunmatched
    • Cross-Functionalunmatched
    • Data Managementunmatched
    • Data Modelingunmatched
    • Data Processingunmatched
    • Data Scienceunmatched
    • Data Storageunmatched
    • Data Warehousingunmatched
    • Database Designunmatched
    • Database Technologyunmatched
    • Distributed Computingunmatched
    • Identify Issuesunmatched
    • Metricsunmatched
    • NoSQLunmatched
    • Operational Auditunmatched
    • Performance Tuning/Optimizationunmatched
    • Reporting Dashboardsunmatched
    • SQL Databasesunmatched
    • System Integration (SI)unmatched
    • Talent Managementunmatched
    • Use Casesunmatched

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