Data Warehouse Engineer: ETL, SQL & Big Data Pipelines

TikTok; Singapore; On-site; SGD 50,000 - 75,000; Full time

Job summary

TikTok is seeking graduates to join the Data Platform Singapore Business Partnering (DPSG BP) team to design and implement data warehouse architectures, data models, and ETL pipelines that support both batch and streaming data processing.

You will contribute to data governance initiatives and deliver data solutions for business scenarios using ByteDance’s middle-platform architecture. Ideal candidates have degrees in CS or software engineering and hands-on data warehouse experience.

Qualifications

• Bachelor's / Master's degree in CS, Software Engineering, or a related technical discipline.
• Strong understanding of data warehouse implementation methodologies.
• Hands-on experience with data warehouse systems and supporting business use cases.

Responsibilities

• Design and implement data warehouse architecture, data models, and ETL pipelines.
• Optimize ETL processes and troubleshoot technical issues related to large-scale data processing.
• Participate in data governance across complex data dependencies and diverse data ecosystems.
• Deliver data solutions for business scenarios by leveraging TikTok’s data platform architecture and product systems.

Skills

SQL

Python

Java

Hive

Spark

Kafka

Flink

Education

Bachelor's or Master's degree in CS/Software Engineering or related

Job description

TikTok is seeking graduates to join the Data Platform Singapore Business Partnering (DPSG BP) team to design and implement data warehouse architectures, data models, and ETL pipelines that support both batch and streaming data processing.

You will contribute to data governance initiatives and deliver data solutions for business scenarios using ByteDance’s middle-platform architecture. Ideal candidates have degrees in CS or software engineering and hands-on data warehouse experience.