Amazon, the world's largest internet retailer, is seeking a talented Data Engineer to join their GSF Strategies data platform team. This role offers an exciting opportunity to work on reinventing global supply chain and international e-commerce through data-driven solutions.
The position focuses on developing and improving the Workforce Planning Analytics platform used for planning, reporting, and forecasting purposes. You'll be working with AWS technologies to build robust data infrastructure and ETL pipelines, while collaborating with various stakeholders including Business Analysts, Site Leads, and Program Management teams.
As a Data Engineer, you'll be responsible for designing and implementing analytical solutions using modern technologies like Python, SQL, and various AWS services. The role requires strong technical skills in data modeling and warehousing, combined with the ability to translate business requirements into scalable solutions.
The ideal candidate should have at least 3 years of data engineering experience and be comfortable working in ambiguous situations. You'll need to demonstrate strong curiosity about the business and maintain attention to detail while working on complex data challenges. The position offers competitive compensation ranging from $118,900 to $205,600 per year, depending on location and experience, plus comprehensive benefits including medical insurance and 401k.
This is an excellent opportunity for a data professional who wants to make a significant impact at scale, working with cutting-edge technologies in a fast-paced environment. You'll be part of a team that's driving innovation in global e-commerce and supply chain management, while having the chance to grow your career at one of the world's most customer-centric companies.
The role is based in either Nashville, TN or Bellevue, WA, offering the chance to work from major tech hubs while contributing to projects that affect millions of customers worldwide. If you're passionate about data engineering and want to work on challenging problems at a global scale, this position offers the perfect blend of technical complexity and business impact.