Data Warehouse Engineer (Global Live) - TikTok
Jul 3, 2026 Singapore
About us
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
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.
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.
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.
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
ResponsibilitiesThe 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
QualificationsMinimum 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.
Additional Information
- Posted: Jul 3, 2026