Data Engineer, Global Logistics Product Analytics Team
Core
Design and deliver production-ready data systems, scalable ETL pipelines, and data architecture to support business and operational performance reporting for Amazon's Global Logistics imports organization.
Role type
Senior IC data engineer (logistics analytics)
Builds
Centralized data lake, ETL/ELT pipelines, data platforms on AWS, and Gen-AI powered data solutions
Domain
Logistics / Supply Chain / Data Engineering
Required skills
ETL/ELT processes, OLAP technologies, data modeling, SQL, Oracle, AWS services (Redshift, Kinesis, S3, Lambda), data quality monitoring, CI/CD infrastructure
Preferred skills
Non-relational databases (object storage, document, key-value, graph, column-family), AWS Glue, EMR, FireHose, IAM roles
Technologies
AWS Redshift, AWS Kinesis, AWS S3, AWS Lambda, AWS Bedrock, AWS Glue, AWS EMR, AWS FireHose, Oracle, SQL
Responsibilities
Design and build scalable ETL pipelines and CI/CD infrastructure; Manage and administer data platforms on AWS; Develop data architecture and data quality monitoring; Experiment with Gen-AI tools like AWS Bedrock; Develop scalable frameworks for data instrumentation; Improve self-service reporting processes
Seniority
Senior, hands-on IC