Join Amazon's Worldwide Defect Elimination (WWDE) team as a Data Engineer working on Customer Service initiatives. In this role, you'll be instrumental in ensuring customer feedback drives improvements through data-driven metrics. You'll work with cutting-edge big data technologies and AWS services to build and maintain data pipelines that process both structured and unstructured data.
The position offers an opportunity to work with a diverse team of Software Developers, Business Intelligence Engineers, and Scientists in a fast-paced, dynamic environment. You'll be responsible for developing scalable data pipelines that support machine learning initiatives and help Amazon better understand and resolve customer issues at scale.
The role combines technical expertise in data engineering with business impact, as you'll be working directly on systems that help Amazon understand and improve customer experience. You'll get hands-on experience with AWS technologies like Redshift, EMR, and various big data tools while working on projects that directly impact millions of customers.
Working in the Customer Service Economics & Optimization team, you'll help analyze the impact of customer issues, policy changes, and experience optimizations through data analysis. The team's mission is to be the ultimate steward of the Voice of the Customer, making it easier for Amazon teams to measure, listen, and act on customer feedback.
This is an excellent opportunity for a data engineer who wants to work at scale, with access to cutting-edge technologies, while making a direct impact on customer experience. The role offers competitive compensation, comprehensive benefits, and the chance to work with some of the best minds in the industry while solving complex data challenges.