Data Warehouse Engineer - Data Platform - TikTok
Aug 19, 2025 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
Team Introduction
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 implement data warehouse architectures, data modeling, and ETL pipeline development.
- Optimize data ETL process and resolve technical issues related to large-scale data ETL.
- Participate in data governance under complex data link dependencies and diverse data content ecosystems.
- Implement data solutions for business scenarios, leveraging ByteDance's robust mid-tier architecture and product systems.
Qualifications
Minimum Qualifications:
- Proficiency in data warehouse implementation methodologies, with in-depth understanding of data warehouse systems and experience supporting business scenarios.
- Strong coding skills, with proficiency in multiple tools/languages including SQL, Python, Java, Hive, Spark, Kafka and Flink.
Preferred Qualifications:
- Data-sensitive, meticulous and adept at identifying anomalies in data.
- Strong communication skills and excellent ability in integrating technical expertise with business needs.
Team Introduction
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 implement data warehouse architectures, data modeling, and ETL pipeline development.
- Optimize data ETL process and resolve technical issues related to large-scale data ETL.
- Participate in data governance under complex data link dependencies and diverse data content ecosystems.
- Implement data solutions for business scenarios, leveraging ByteDance's robust mid-tier architecture and product systems.
Minimum Qualifications:
- Proficiency in data warehouse implementation methodologies, with in-depth understanding of data warehouse systems and experience supporting business scenarios.
- Strong coding skills, with proficiency in multiple tools/languages including SQL, Python, Java, Hive, Spark, Kafka and Flink.
Preferred Qualifications:
- Data-sensitive, meticulous and adept at identifying anomalies in data.
- Strong communication skills and excellent ability in integrating technical expertise with business needs.
Team Introduction
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 implement data warehouse architectures, data modeling, and ETL pipeline development.
- Optimize data ETL process and resolve technical issues related to large-scale data ETL.
- Participate in data governance under complex data link dependencies and diverse data content ecosystems.
- Implement data solutions for business scenarios, leveraging ByteDance's robust mid-tier architecture and product systems.
Qualifications
Minimum Qualifications:
- Proficiency in data warehouse implementation methodologies, with in-depth understanding of data warehouse systems and experience supporting business scenarios.
- Strong coding skills, with proficiency in multiple tools/languages including SQL, Python, Java, Hive, Spark, Kafka and Flink.
Preferred Qualifications:
- Data-sensitive, meticulous and adept at identifying anomalies in data.
- Strong communication skills and excellent ability in integrating technical expertise with business needs.
Responsibilities
ResponsibilitiesTeam Introduction
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 implement data warehouse architectures, data modeling, and ETL pipeline development.
- Optimize data ETL process and resolve technical issues related to large-scale data ETL.
- Participate in data governance under complex data link dependencies and diverse data content ecosystems.
- Implement data solutions for business scenarios, leveraging ByteDance's robust mid-tier architecture and product systems.
Qualifications
QualificationsMinimum Qualifications:
- Proficiency in data warehouse implementation methodologies, with in-depth understanding of data warehouse systems and experience supporting business scenarios.
- Strong coding skills, with proficiency in multiple tools/languages including SQL, Python, Java, Hive, Spark, Kafka and Flink.
Preferred Qualifications:
- Data-sensitive, meticulous and adept at identifying anomalies in data.
- Strong communication skills and excellent ability in integrating technical expertise with business needs.
Additional Information
- Posted: Aug 19, 2025