1 month ago
Beijing, ChinaMid Level
Responsibilities
- Design, develop, and maintain scalable data pipelines for AI/ML model development and production deployment.
- Implement and maintain CI/CD pipelines for data and AI/ML solutions.
- Collaborate with data scientists to understand data requirements and build efficient data-processing solutions.
- Create and manage data warehouses and data lakes with appropriate governance and security measures.
- Translate product and business stakeholder data needs into technical requirements.
- Propose improvements to data infrastructure and processes for AI/ML models and analytics applications.
- Participate in code reviews and contribute to data engineering best practices.
Requirements
- At least 3 years of data engineering experience.
- Experience with data modeling, data warehousing, and ETL pipeline development.
- Knowledge of at least two of Scala, Java, Python, C, C++, or Go.
- Knowledge of AWS or equivalent cloud services.
- Experience with version control systems and CI/CD pipeline implementation.
- Preferred: experience with non-relational databases or data stores, including object storage, document or key-value stores, graph databases, or column-family databases.
- Preferred: experience training and deploying AI/ML systems for large-scale optimization.
- Preferred: experience with data analytics and big data technologies.
About Amazon
Amazon builds and operates a global e-commerce marketplace, logistics network, and consumer devices, and provides cloud computing via AWS for businesses and developers. The company earns revenue from online retail, third‑party seller services, subscriptions like Prime, advertising, and AWS usage. Founded in 1994 and headquartered in Seattle, it is publicly traded on NASDAQ (AMZN) and serves customers in dozens of countries.