Build Amazon Prime data systems with AWS Glue and Spark, supporting machine learning across terabyte-scale datasets worldwide. Collaborate with scientists and engineers.As a Data Engineer, you will develop reliable infrastructure for automated marketing, personalization, targeting, and decisioning. Your work supports Prime’s Member Experience organization and more than 300 million members. You will create scalable products alongside economists, research scientists, applied scientists, analysts, and engineering leaders.Key Responsibilities: Build and maintain big data pipelines for machine learning applicationsAdvance infrastructure using AWS Glue, Spark,



and Amazon EMRImplement data quality monitoring and anomaly detection alertingCreate data models and analysis-ready datasets with scientistsEvaluate generative AI tools for workflow automationRequirements: Three or more years of data engineering experienceExperience with data modeling, warehousing, and ETL pipelinesExperience manipulating and processing large datasetsExperience with AWS technologies including S3, Glue, or EMRExperience with non-relational databases or data storesApply data engineering, AWS, and machine learning expertise to strengthen Amazon Prime’s global member experience.#J-18808-Ljbffr

📌 Amazon Prime Data Engineer (Vancouver)
🏢 Amazon
📍 Vancouver