亚马逊Data Engineer, Amazon Global Selling - AIT

• Design and implement end-to-end data pipelines (ETL) to ensure efficient data collection, cleansing, transformation, and storage, supporting both real-time and offline analytics needs. • Develop automated data monitoring tools and interactive dashboards to enhance business teams’ insights into core metrics (e.g., user behavior, AI model performance). • Collaborate with cross-functional teams (e.g., Product, Operations, Tech) to align data logic, integrate multi-source data (e.g., user behavior, transaction logs, AI outputs), and build a unified data layer. • Establish data standardization and governance policies to ensure consistency, accuracy, and compliance. • Provide structured data inputs for AI model training and inference (e.g., LLM applications, recommendation systems), optimizing feature engineering workflows. • Explore innovative AI-data integration use cases (e.g., embedding AI-generated insights into BI tools). • Provide technical guidance and best practice on data architecture that meets both traditional reporting purpose and modern AI Agent requirements.

• Collaborate with BIE,DE, PM, CSM to research, design, develop, and evaluate generative AI solutions to address Global Selling challenges. • Interact with stakeholders directly to understand their business problems, aid them in implementation of generative AI solutions, brief stkaholders and guide them on adoption patterns and paths to production • Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder

- Work with global teams to enable reliable data for GCR business operations while following strict security compliance requirements, and build data foundation for GCR users to self-service for their use cases - Build and enhance data platforms to support end users to easily and securely access data and insights by leveraging AI, AWS services, and open source services - Collaborate with product managers and SDE team members to design and implement data products that meet business requirements and deliver measurable value - Implement robust data quality monitoring, validation frameworks, and governance practices while optimizing compute solutions for performance and cost efficiency

• Ensure products continuously comply with Amazon’s quality, performance, reliability, as well as relevant safety and worldwide regulatory requirements • Implement and apply Amazon.com quality systems throughout the product life cycle • Work with stakeholders to define HPB product requirement document/specification in the planning stage of product development • Work with suppliers, 3rd party test labs, and internal teams for quality and compliance testing. • Proactively drive corrective action plans to lower down DPPM and raise the quality bar • Monitor and rigorously adhere to all quality activities SLAs and ensure SLA adherence by vendors and 3rd party labs. • Own DPPM (Defective Part Per Million) & CRR (Customer Review Rating) for responsible product categories, and proactively work with all stakeholders for resolving any quality complaints or issues • Strive continuously to identify innovative ways to prevent quality issues leading to improved customer reviews and ratings • Continuously analyze existing quality processes and systems and work with cross-functional teams for process improvements • Drive scalable business solutions on product development and quality monitoring processes • Maintain close collaboration with all internal and stakeholders, including those based in US and other worldwide Amazon offices, and provide visibility through appropriate reports • Explore and implement Generative AI tools to improve quality operations and drive innovation.