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 that can meaningfully contribute to both programs. This role is pivotal in addressing major challenges that enhance vendor success satisfaction and growth on Amazon, contributing directly to our long-term strategy.
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. Core to this mission is our commitment to delighting not only customers but also vendors by inventing scalable solutions that exceed expectations. The EU AVS program provides industry-leading account management services to vendors, optimizing cost-to-serve and expediting their growth. The WW VX program focuses on creating a globally preferred, trusted, and efficient vendor experience across all touchpoints. Both programs are essential inputs for improving the end-customer experience and Amazon's long-term free cash flow.
Key job responsibilities
This role will sit within a data and analytics team supporting two large program teams (EU AVS and VX) while working closely with BIEs, scientists, and 15 Product Managers. As a Data Engineer, you will design, develop, and maintain highly scalable data pipelines and storage solutions to support advanced analytics, machine learning (ML), and artificial intelligence (AI) initiatives. You will be instrumental in ensuring the availability, reliability, and scalability of data systems that drive insights and actions for the AVS Growth Services program.
Your primary responsibilities will include :
Data Architecture & Pipelines: Design and implement data pipelines and ETL processes to ingest, process, and manage structured and unstructured vendor feedback data at scale.
Collaborative Development: Partner with BIEs and scientists to provide clean, production-ready datasets.
Scalable Solutions : Build and optimize data infrastructure to support the processing of structured and unstructured vendor data.
Insights & Reporting: Create robust systems for monitoring and reporting on key metrics, enabling cross-functional teams.
Automation : Automate processes for data collection, validation, and transformation to improve efficiency and accuracy across global vendor touchpoints.
* Experience with data modeling, warehousing, and building ETL pipelines
* Experience with SQL
* Experience as a Data Engineer or in a similar role
* Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
* Experience with non-relational databases/data stores (object storage, document, key-value stores, graph databases, column-family databases)
Amazon is an equal opportunity employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify, and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to learn more about how we collect, use, and transfer the personal data of our candidates.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process—including support for the interview or onboarding process—please visit our support page for more information. If the country or region you're applying in isn't listed, please contact your Recruiting Partner.
Key Skills
Apache Hive, S3, Hadoop, Redshift, Spark, AWS, Apache Pig, NoSQL, Big Data, Data Warehouse, Kafka, Scala
Employment Type : Full-Time
Department / Functional Area : Data Engineering
Experience : (Specify years of experience)
Vacancy : 1
#J-18808-Ljbffr