Data Engineer, Worldwide Global Selling - AIT

Amazon

Shanghai, China
On-site
End-to-end data pipeline design
Etl implementation for real-time analytics
Multi-source data integration
Amazon is seeking a Data Engineer for its Worldwide Global Selling team in Shanghai, China, to enhance data infrastructure and analytics capabilities for AI and automation initiatives. The role involves designing end-to-end data pipelines, collaborating with cross-functional teams, and implementing data governance policies to support business insights and AI model training

Job Summary

  • The WWGS-AIT team serves as the research, automation, and insight arm of the International Seller Service data hub.
  • Key responsibilities include designing and implementing end-to-end data pipelines to support both real-time and offline analytics needs.
  • The role requires providing structured data inputs for AI model training and inference, including LLM applications and recommendation systems.

Matching Summary

Match Score: 85

Amazon is seeking a Data Engineer for its Worldwide Global Selling team in Shanghai, China, to enhance data infrastructure and analytics capabilities for AI and automation initiatives. The role involves designing end-to-end data pipelines, collaborating with cross-functional teams, and implementing data governance policies to support business insights and AI model training.

Skills & Requirements

Must-have

  • End-to-end data pipeline design
  • ETL implementation for real-time analytics
  • Multi-source data integration
  • AI model feature engineering workflows
  • Data standardization and governance policies

Nice-to-have

  • Interactive dashboard development
  • LLM application experience
  • Self-service BI solution development
  • Cross-functional collaboration skills
  • Innovative AI-data integration use cases

Key Requirements

  • Experience in data infrastructure design
  • Proficiency in ETL processes
  • Knowledge of AI-ready foundational capabilities

Work Rights

Not specified

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