Data Engineer, Global E-Commerce (Governance Service - Risk Control Platform)

Global E-Commerce is a content e-commerce business with international short video product as the carrier. It is committed to becoming the first choice for users to discover and purchase good products with affordable prices. Global E-Commerce business team hopes to provide users with more tailored and efficient consumption experience, enabling merchants to receive reliable platform services in different scenarios such as live e-commerce, short video content e-commerce, thereby making more affordable and high-quality products easily accessible and improving lives.

The Global E-Commerce Risk Control Team is committed to combating risks with groups in the underground black industry, building a risk protection system for the platform, identifying current and future risk trends through human-machine collaboration, and promoting the prevention and control of business to support the rapid development of TikTok's e-commerce business.

We are seeking passionate data engineers with strong problem-solving abilities to work hand in hand with talented cross-functional partners (business operations, data science, engineering, and product management) to efficiently solve some highly challenging data development and construction tasks. In this position, you will contribute to the company's core business, and your daily work will directly impact the company's and customers' financial security and business strategic planning.

Responsibilities:
- Collaborate closely with product managers, strategic operations, internal engineering teams, etc. to understand data requirements and provide data solutions that meet business needs.
- Evaluate, implement, and maintain data infrastructure tools and technologies to support efficient data processing, storage, and querying.
- Design, build, and optimise scalable data pipelines to ingest, process, and transform large volumes of data to support complex analytical queries and reporting requirements.
- Ensure data integrity, accuracy, and consistency by implementing data quality checks, validation processes, and monitoring mechanisms.
- Continuously optimise data pipelines, queries, and processes to improve performance, reduce latency, and enhance scalability.
- Build and maintain the data assets for the risk control business at a high level, serving as the foundation for engineering and product applications.