Data Engineer, SCOT Fulfillment Optimization
Core
Building data foundations, pipelines, and warehouses to power AI and optimization systems for Amazon's global fulfillment network.
Role type
Data Engineer
Builds
Data pipelines, physical data models, and data warehouses for fulfillment optimization products
Domain
Supply chain logistics / E-commerce / Data Engineering
Deliverable
production ML models | product features
Required skills
Data modeling, ETL pipeline development, SQL, Python, troubleshooting data issues, data quality monitoring, code review, system design
Preferred skills
AWS technologies (Redshift, S3, Glue, EMR, Kinesis), non-relational databases (object, document, key-value, graph, column-family)
Technologies
Redshift, EMR, Spark, S3, Hive, AWS Glue, Kinesis, FireHose, Lambda, IAM
Responsibilities
Build and optimize physical data models and ETL pipelines; deliver tested and documented data solutions; troubleshoot and resolve issues in datasets and pipelines; measure and improve dataset quality; write secure, stable, and testable code; participate in team design and scoping discussions; collaborate with peers to integrate data sources
Seniority
Individual Contributor (IC), growth-oriented with mentorship
