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 applications Advance infrastructure using AWS Glue, Spark,



and Amazon EMR Implement data quality monitoring and anomaly detection alerting Create data models and analysis-ready datasets with scientists Evaluate generative AI tools for workflow automation Requirements:

Three or more years of data engineering experience Experience with data modeling, warehousing, and ETL pipelines Experience manipulating and processing large datasets Experience with AWS technologies including S3, Glue, or EMR Experience with non-relational databases or data stores Apply data engineering, AWS, and machine learning expertise to strengthen Amazon Prime’s global member experience.

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