Data Engineer , Worldwide Global Selling -AIT
Core
Design and implement end-to-end data pipelines and AI-ready data foundations to support seller intelligence, automation, and AI applications for global third-party sellers.
Role type
Senior Data Engineer (AI & Data Infrastructure)
Builds
AI-ready data layers, ETL pipelines, and automated data quality tooling for seller analytics and AI agents.
Domain
E-commerce / Global Selling / Data Engineering / AI Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Data modeling, warehousing, ETL pipeline development, data quality monitoring, multi-source data integration, data governance, feature engineering for AI
Preferred skills
AWS Redshift, AWS S3, AWS Glue, AWS EMR, AWS Kinesis, AWS FireHose, AWS Lambda, non-relational databases (document, key-value, graph, column-family)
Technologies
AWS (Redshift, S3, Glue, EMR, Kinesis, FireHose, Lambda), ETL frameworks, Data Warehousing tools
Responsibilities
Design and implement batch and streaming data pipelines; Build integration layer data models; Develop automated data quality monitoring and observability; Integrate multi-source data (seller behavior, transaction logs, AI outputs); Establish data standardization and governance policies; Provide structured data inputs for AI model training and inference.
Seniority
Senior, hands-on IC