The EU Amazon Vendor Services (AVS) and Retail Vendor Experience (VX) Program teams are seeking a Data Engineer to design and implement scalable data solutions and pipelines. This role is crucial in enhancing vendor success, satisfaction, and growth on Amazon. The position sits within a data and analytics team supporting two large program teams while working closely with BIEs, scientists, and 15+ Product Managers.
As a Data Engineer, you'll be responsible for designing, developing, and maintaining highly scalable data pipelines and storage solutions to support advanced analytics, machine learning (ML), and artificial intelligence (AI) initiatives. The role focuses on ensuring the availability, reliability, and scalability of data systems that drive insights and actions for the AVS Growth Services programme.
Amazon's mission is to be Earth's most customer-centric company, where customers can discover anything they want to buy online at competitive prices, with vast selection and convenience. The EU AVS programme provides industry-leading account management services to vendors, while the WW VX programme focuses on creating a globally preferred, trusted, and efficient vendor experience across all touchpoints.
Key technical skills desired include experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and familiarity with non-relational databases. The ideal candidate will have strong experience in data modeling, warehousing, and building ETL pipelines, along with proficiency in SQL.
This role offers the opportunity to work on meaningful projects that directly impact vendor success and Amazon's long-term strategy. You'll be part of a team that values innovation, scalability, and customer-centricity, while working with cutting-edge technologies and data solutions.