Data Warehouse Engineer Graduate

3 days ago

Singapore TikTok Pte. Ltd. Full time

Responsibilities
Team Introduction The mission of the Global live Data BP team is to empower the TikTok Live Business with data. Our goal is to build a Data Warehouse that can cater to batch and streaming data, Data Products that provide useful information to build efficient data metrics & dashboards which will be used to make smarter business decisions to support business growth.
If you\'re looking for a challenging ground to push your limits, this is the team for you We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.
Launch your career where inspiration is infinite at TikTok. Successful candidates must be able to commit to an onboarding date by end of year 2026. 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 TikTok and its affiliates\' jobs globally. Applications will be reviewed on a rolling basis
we encourage you to apply early.
Responsibilities:
Participate in the construction of offline and real-time data warehouses for TikTok Live business.
Handle PB-level large-scale data, processing hundreds of billions of users data daily.
Provide services for the entire lifecycle of big data, covering data generation, transmission, modeling, statistical analysis, experiment evaluation, and visualization.
Build and design well-structured data flows, data warehouses, scheduling systems, query engines, data services, analysis systems, process specifications, and data tools/products to lower the threshold for data usage and ensure steady and efficient system operation, maximizing the value of the data.
Qualifications
Minimum Qualifications:
Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline. Solid foundation with strong coding skills in SQL, Python, Scala, Java etc.
Preferred Qualifications:
Experience with big data tools/frameworks such as Spark, Hadoop, Hive, Flink, Kafka, HBase, etc. Passionate and self-motivated about technologies in the Big Data area.
By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: If you have any questions, please reach out to us at
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