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TikTok

Data Warehouse Engineer (Global Live) - TikTok

SingaporePosted Jul 3, 2026

Apply on company site View full job

Why you should apply for a job to TikTok:

4.5/5 in overall job satisfaction
4.5/5 in supportive management
100% say women are treated fairly and equally to men
100% would recommend this company to other women
100% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›

Responsibilities

The mission of the Data Platform Singapore Business Partnering (DPSG BP) team is to empower the TikTok 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!

Responsibilities:
- Design and build data transformations efficiently and reliably for different purposes (e.g. reporting, growth analysis, multi-dimensional analysis).
- Design and implement reliable, scalable, robust and extensible big data systems that support core products and business.
- Establish solid design and best engineering practice for engineers as well as non-technical people.

Qualifications

Minimum Qualification(s):
- Bachelor or Master's degree in Computer Science or related technical field or equivalent practical experience.
- Experience in the Big Data technologies(Hadoop, M/R, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, Flink etc.).
- Experience with performing data analysis, data ingestion and data integration.
- Experience with ETL(Extraction, Transformation & Loading) and architecting data systems.

Preferred Qualification(s):
- Experience with schema design, data modeling and SQL queries.
- Passionate and self-motivated about technologies in the Big Data area.

Responsibilities

Qualifications

Qualifications

Minimum Qualification(s):
- Bachelor or Master's degree in Computer Science or related technical field or equivalent practical experience.
- Experience in the Big Data technologies(Hadoop, M/R, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, Flink etc.).
- Experience with performing data analysis, data ingestion and data integration.
- Experience with ETL(Extraction, Transformation & Loading) and architecting data systems.

Preferred Qualification(s):
- Experience with schema design, data modeling and SQL queries.
- Passionate and self-motivated about technologies in the Big Data area.

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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