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 supply chain optimization products
Domain
Logistics / Supply Chain / Big Data
Deliverable
production ML models
Required skills
Data modeling, ETL pipeline development, SQL, Python, Data warehousing, Data quality monitoring, Code review, Troubleshooting
Preferred skills
Big data technologies (Hadoop, Hive, Spark, EMR), ETL tools (Informatica, ODI, SSIS, Datastage)
Technologies
Redshift, EMR, Spark, S3, Hive, SQL, Python, Scala
Responsibilities
Design and build data pipelines and warehouses; Troubleshoot and resolve issues in datasets and pipelines; Measure and improve dataset quality; Write secure, stable, and documented code; Collaborate with peers to integrate data sources
Seniority
Individual Contributor (IC), growth-oriented
