Data Engineer, Amazon Global Selling - AIT
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The role
Design and implement end-to-end data pipelines (ETL) to support both real-time and offline analytics.
Develop automated data monitoring tools and interactive dashboards to track core metrics such as user behavior and AI model performance.
Collaborate with cross-functional teams to align data logic, integrate multi-source data, and build a unified data layer.
Establish data standardization and governance policies to ensure accuracy, consistency, and compliance.
Provide structured data inputs for AI model training and inference, optimizing feature engineering workflows.
Explore AI-data integration use cases and advise on best practices for data architecture and BI solutions.
Develop automated data monitoring tools and interactive dashboards to track core metrics such as user behavior and AI model performance.
Collaborate with cross-functional teams to align data logic, integrate multi-source data, and build a unified data layer.
Establish data standardization and governance policies to ensure accuracy, consistency, and compliance.
Provide structured data inputs for AI model training and inference, optimizing feature engineering workflows.
Explore AI-data integration use cases and advise on best practices for data architecture and BI solutions.
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