Data Engineer II, International Seller Growth
Core
Build scalable data pipelines, models, and ETL workflows to create a GenAI-ready data layer for Amazon's international seller services.
Role type
Senior IC data engineer (AWS cloud)
Builds
GenAI-ready data layer, complex ETL pipelines, data models, and mission-critical applications for global sellers
Domain
E-commerce / Cloud Data Engineering
Deliverable
production ML models | infrastructure
Required skills
ETL pipeline construction, data modeling, SQL, Python, Scala, AWS Glue, AWS Redshift, AWS S3, AWS Lambda, AWS DynamoDB, data governance, data quality enforcement, pipeline optimization
Preferred skills
AWS EMR, AWS Kinesis, AWS FireHose, AWS IAM, non-relational databases (object storage, document, key-value, graph, column-family)
Technologies
AWS Lambda, AWS Redshift, AWS S3, AWS DynamoDB, AWS Glue, AWS EMR, AWS Athena, Datanet, Craddle
Responsibilities
Construct intricate ETL pipelines using Datanet and Craddle; Create and manage datasets within AWS DynamoDB, S3, and Redshift; Develop complex ETL workflows employing AWS Glue; Orchestrate step functions through Python/Scala; Implement and enforce rigorous data quality standards and governance policies; Continuously monitor and optimize data pipelines to enhance performance; Collaborate with data analysts to design and maintain data reporting solutions; Develop and maintain mission-critical applications for sellers worldwide
Seniority
Mid-Senior, hands-on IC
