Data Engineer Graduate (Data Platform - Global Live) - 2026 Start (MS)
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About this role
About the team:
The Data Platform Global Live team is dedicated to empowering the growth of TikTok LIVE business through big data. We support our businesses in achieving their missions by building high quality real-time and offline data warehouses, creating various forms of efficient and data-friendly data assets, and exploring and implementing business oriented data solutions leveraging big data technology and LLM. We provide stable and reliable data capabilities for daily operations, analyses, decision-making of TikTok LIVE features, in addition to robust data support to enhance live performance for streamers.
As a data engineer in the Global Live team, you will have the opportunity to build, optimize and grow one of the largest data platforms in the world. You'll have the opportunity to gain hands-on experience on all kinds of systems in the data platform ecosystem and explore applications of latest technologies including LLM for data. Your work will have a direct and huge impact on the company's core products as well as hundreds of millions of users.
Responsibilities:
- Understanding business problems, designing and implementing easy-to-use data solutions for businesses.
- Collaborating with data engineers to understand the data system and provide a smooth data usage experience for data users, including but not limited to data discovery, data usage guidance, and promotion of the data system.
- Collaborating with business teams from all over the world to drive user growth and revenue growth.
Minimum Qualifications:
- Currently pursuing a Master's in Software Development, Computer Science, Computer Engineering, Mathematics, Statistics, Data science or a related technical discipline
- Good experience in data solutions, such as data consulting, product development, and data tools creation.
- Strong problem-solving and analytical skills with the ability to translate business needs into technical solutions and data metrics.
- Have an understanding of data warehousing and the construction ideas of the data system.
- Experience with coding (SQL, Python, etc.)
- Passionate and self-motivated about using data to drive business decisions.