33 jobs for "Data Engineer, E-Commerce"

Responsibilities

Global E-commerce is a discovery-driven e-commerce business, working to become a destination for users to discover and buy good products at affordable prices. We build a shopping experience that feels tailored to each user, and a platform merchants can rely on across live and short-video commerce.

TikTok Shop is a more personalized way to shop, where joy, entertainment, and discovery meet. People engage directly with sellers and creators through shoppable videos and interactive livestreams, discovering and buying trending products without leaving the app. We want to be where people find innovative, unique, high-quality products from around the world, in an environment that stays safe and secure for sellers, creators, and users alike.

You will help redefine how people discover, search, and shop for the things they love, on a business expanding quickly across global markets.

TikTok Shop 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. TikTok Shop hopes to provide users with more tailored and efficient consumption experiences, enabling merchants to receive reliable platform services in different scenarios such as live e-commerce, short video content e-commerce, so as to make more affordable and high-quality products sell easily and a better life within reach.

Global e-Commerce business platform team hopes to provide users with more tailored and efficient consumption experiences, enabling merchants to receive consistent and reliable platform services in different scenarios such as live e-commerce, short video content e-commerce, so as to make more affordable and high-quality products sell easily and a better life within reach.

Responsibilities:
- Own cost-efficiency data applications and services for both the platform and merchants, independently driving functional modules end to end from requirements to launch, including front-end and back-end development of products such as cost analysis, capital loss prevention and merchant cost insights;
- Build the Promotion Data Platform, covering data warehouse modeling, offline and real-time data pipelines, unified metric definitions and data quality governance, to ensure the stability, timeliness and accuracy of data pipelines;
- Develop a deep understanding of user growth and marketing in international e-commerce. Work with Product, Operations and Data Science to build the metric framework and analytical methods for marketing spend, turn analytical capabilities into reusable data products and services, and explore the application of AI in cost analysis and decision-making.

Qualifications

Minimum Qualification(s)
- Foundation: Bachelor's or higher degree in Computer Science, Information Technology, Programming & System Analysis, Science (Computer Studies) or related discipline, with solid practical ability (at least 4 years of experience) in back-end, front-end or data development;
- Tech stack: Full-stack track: proficient in at least one back-end language such as Go, Python or Java, with knowledge of front-end frameworks such as React. Data track: proficient in at least one big data technology among Hive, Spark, Flink and ClickHouse;
- Business understanding: Willing to deeply understand business concepts such as marketing, user growth, ROI, experimentation and strategy, and to solve real business problems with technology;
- Professional qualities: Strong numerical intuition, with high standards for data accuracy and system stability; skilled at communicating and collaborating with Product, Operations and Data Science;
- Embrace AI: Actively embrace AI, leverage it to improve R&D efficiency, and drive AI adoption in business scenarios.

Responsibilities

Qualifications

Qualifications

Minimum Qualification(s)
- Foundation: Bachelor's or higher degree in Computer Science, Information Technology, Programming & System Analysis, Science (Computer Studies) or related discipline, with solid practical ability (at least 4 years of experience) in back-end, front-end or data development;
- Tech stack: Full-stack track: proficient in at least one back-end language such as Go, Python or Java, with knowledge of front-end frameworks such as React. Data track: proficient in at least one big data technology among Hive, Spark, Flink and ClickHouse;
- Business understanding: Willing to deeply understand business concepts such as marketing, user growth, ROI, experimentation and strategy, and to solve real business problems with technology;
- Professional qualities: Strong numerical intuition, with high standards for data accuracy and system stability; skilled at communicating and collaborating with Product, Operations and Data Science;
- Embrace AI: Actively embrace AI, leverage it to improve R&D efficiency, and drive AI adoption in business scenarios.

About TikTok

TikTok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.

Size: 10,000+ employees
Industry: Technology: Consumer Internet

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