Data Engineer Graduate (Monetization Data) - 2027 Start

Description

Team Introduction
Monetization Data SG team aims to empower TikTok monetization business through acquiring, building and managing all kinds of data as our data foundation, and further provide scalable solutions including dashboards, data products, data services and AI solutions. We are partnership with business through a better understanding of business strategy and aligning OKRs with business to drive business growth as a stakeholder. At the same time, our team continues to explore the development of data engines, data warehouse methodology, BI tools, ML and AI technology to efficiently improve the efficiency of data production, and deeply mine data value to improve business growth.

We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.
Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Candidates who pass resume screening will be invited to participate in Our Company's technical online assessment.

Responsibilities:
- Process data processing requests and execute data model design, implementation and maintenance
- Develop all kinds of data solutions (dashboards, data products, data services and AI solutions) to enable business
- Responsible for developing and operating our internal BI/AI platform to support various data analytics scenarios

Requirements

Minimum Qualification(s):
- Individuals who are completing or have recently completed a Bachelor's degree in Computer Science, Computer Engineering, Software Development or a related discipline.
- Familiar with SQL, be able to use SQL to perform data analysis
- Familiar with Java, Python or other programming languages for data processing and software development
- Good understanding of data structure, statistics and LLM
- Excellent English written and verbal communication skills, proactive in work, a strong sense of responsibility, and good teamwork ability.

Preferred Qualification(s):
- Strong interest in computer science and internet technology