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Data Engineer, CIA-Core Engine

Amazon.com Inc

  • Austin, TX
  • 13 days ago

    Highlights

    Your day involves partnering with network engineering teams to grasp their data requirements, designing scalable solutions, and ensuring data quality through governance and security measures. When you join us, you"ll work alongside network engineers, infrastructure specialists, and fellow data engineers who are dedicated to making our operations more efficient and scalable.

    Numbers & Facts

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

    Description

    Join our Operations Technology Infrastructure Engineering team and help build the invisible scaffolding that powers Amazon"s global network and device infrastructure. As a Data Engineer, you"ll design and maintain large-scale data systems that enable thousands of Amazonians and guide operations across Amazon"s fulfillment network worldwide.

    As a Data Engineer on our team, you"ll focus on developing and maintaining robust data pipelines that ingest information from diverse sources into our data lake. You"ll work on implementing ETL processes that cleanse, transform, and enrich data to support analytical needs across the organization. Your day involves partnering with network engineering teams to grasp their data requirements, designing scalable solutions, and ensuring data quality through governance and security measures. You"ll also monitor our data systems to identify and resolve issues promptly, keeping our infrastructure running smoothly. Beyond routine tasks, you"ll participate in architectural discussions, evaluate data solutions proposed by peers, and contribute to evolving our data engineering practices as technologies and industry standards advance.

    Key job responsibilities

    • Develop and maintain data pipelines that ingest data from various sources into our data lake, implementing ETL processes to cleanse, transform, and enrich data for analytical purposes
    • Design scalable data solutions focusing on performance, quality, and reliability while partnering with cross-functional teams to comprehend business requirements
    • Implement data quality controls, metadata management, and data lineage tracking to ensure data integrity, compliance, and accessibility across the organization
    • Establish data governance and security measures to protect delicate information and ensure compliance with regulatory requirements
    • Monitor data infrastructure to identify and resolve issues promptly, maintaining high availability and reliability of our data systems

    A day in the life

    Amazon offers a full range of benefits that support you and eligible family members, including domestic partners. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:

    1. Medical, Dental, and Vision Coverage

    2. Maternity and Parental Leave Options

    3. Paid Time Off (PTO)

    4. 401(k) Plan

    If you are not sure that every qualification on the list above describes you exactly, we"d still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply!

    About the team

    We are a team dedicated to delivering flexible, low-touch, cost-efficient infrastructure products by leveraging data, analytics, and automation. Our systems reach across all global core services and infrastructure within Operations Technology, enabling over 100,000 Amazonians and all Amazon fulfillment centers worldwide. We"re building solutions that require minimal long-term maintenance while solving complex infrastructure challenges. When you join us, you"ll work alongside network engineers, infrastructure specialists, and fellow data engineers who are dedicated to making our operations more efficient and scalable. Collectively, we"re shaping the future of how Amazon"s operations are supported through intelligent data systems.

    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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