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Data Engineer, Data Infrastructure and Generative Intelligence - AIGC Finance

Amazon.com Inc
  • Seattle, WA
    7 days ago

    Job Description

    Amazon is looking for a motivated Data Engineer with strong database, analytical skills and big data technology experience to join the Amazon's Advertising business. You will be a part of the AIGC DIGI team which supports multiple Ads businesses, including but not limited to Stores (amazon.com), Amazon Business, Devices, Video, and Audio Ads.

    This is an exciting opportunity to re-envision the data architecture for multiple unique ads businesses and be hands-on to deliver your data solutions end-to-end and bring your impact to the teams immediately. As a key data solution provider, you will be partnering with Finance and Business leaders to design, build, expand and optimize data solutions to ensure data scalability, stability, and accuracy. You will be working with massive amount of data in the ads space, and your big data solutions will be supporting our rapidly growing, complex and dynamic businesses demand for data.

    Finally yet importantly, you should have excellent communication skills and the ability to adjust communication to different groups of stakeholders, collaborating with BI engineers, data scientists, software engineers, product managers, program managers, and leadership to evaluate business needs and objectives in order to set up the best data management environment.

    Key job responsibilities

    • Understand unique business needs, review existing tech stack and data landscape, design/re-design, implement and build an analytical data infrastructure for multiple ads businesses
    • Influence upstream and partner data teams to ensure the reliable data solutions for our team
    • Manage AWS resources including EC2, EMR, S3, Glue, Redshift, etc
    • Interface with other technology teams to extract, transform, and load data from a wide variety of data sources
    • Explore, learn and adopt the latest AWS technologies to provide new capabilities and increase efficiency
    • Collaborate with and support Business Intelligence Engineers (BIEs) to recognize and help adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
    • Work with stakeholders to understand the business questions and define requirements and build out scalable data solutions
    • Support continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers

    About the team

    Our team builds and operates scalable data infrastructure and AI solutions that serve finance and business stakeholders across AIGC.

    This role will work closely with the APM Advertising Finance team, which supports various publishers, including Stores, Amazon Business, Books, Grocery/Physical Store, Devices, Video, and Audio. The team focuses on accelerating top-line revenue and improve profitability by evaluating overall ad supply monetization and utilization, product feature or sales package adoption, campaign performance, and other various product drivers of growth.

    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

    • Advertisingunmatched
    • Amazon Elastic Compute Cloud (EC2)unmatched
    • Amazon Simple Storage Service (S3)unmatched
    • Amazon Web Services (AWS)unmatched
    • Analysis Skillsunmatched
    • Artificial Intelligence (AI)unmatched
    • Best Practicesunmatched
    • Big Dataunmatched
    • Business Intelligenceunmatched
    • Business Supportunmatched
    • Campaignsunmatched
    • Communication Skillsunmatched
    • Customer Support/Serviceunmatched
    • Data Managementunmatched
    • Data Qualityunmatched
    • Data Scienceunmatched
    • Database Analysisunmatched
    • Database Extract Transform and Load (ETL)unmatched
    • Electronic Medical Recordsunmatched
    • Emerging Technologyunmatched
    • Financeunmatched
    • Grocery Storesunmatched
    • Leadershipunmatched
    • Needs Assessmentunmatched
    • Product Programsunmatched
    • Profit & Loss Analysisunmatched
    • Project/Program Managementunmatched
    • Requirements Managementunmatched
    • Resource Managementunmatched
    • Salesunmatched
    • Scalable System Developmentunmatched
    • Software Engineeringunmatched
    • Test Designunmatched
    • Validation Documentationunmatched

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