8 jobs for "Data Engineer Intern (Data Platform Global Live) - 2027 Summer"

Responsibilities

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.

We are looking for talented individuals to join us for an internship. Our internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth.
Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals.
Candidates may apply to a maximum of two positions across Our Company and its affiliates globally. Applications will be considered in the order they are submitted.
Applications are reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume, including your start and end dates.

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.

Qualifications

Minimum Qualification(s):
- Currently pursuing a Bachelor's degree in Computer 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.

Preferred Qualification(s):
- Currently pursuing a Master's degree in Computer Science or a related technical discipline.

Responsibilities

Qualifications

Qualifications

Minimum Qualification(s):
- Currently pursuing a Bachelor's degree in Computer 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.

Preferred Qualification(s):
- Currently pursuing a Master's degree in Computer Science or a related technical discipline.

About TikTok

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

Size: 5,001 - 10,000 employees
Industry: Entertainment & Gaming

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