Data Warehouse Engineer Graduate (Data Platform, TikTok User Growth)

About the role

TikTok's Data Platform Singapore Business Partnering (DPSG BP) team builds data warehouses that support both batch and streaming data processing, and data products that turn metrics into actionable insights for smarter business decisions. It is looking for graduates to join the team, with a 2027 start. Candidates must be able to commit to an onboarding date by the end of the year and should state their availability and graduation date in their resume.

Key responsibilities

• Design and implement data warehouse architecture, data models and ETL pipelines.
• Optimise 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 using ByteDance's middle-platform architecture and product systems.

Required profile

• Completing or recently completed a Bachelor's or Master's degree in Computer Science, Software Engineering or a related technical discipline.
• Strong understanding of data warehouse implementation methodologies, with hands-on experience in data warehouse systems and supporting business use cases.
• Preferred: highly data-sensitive, detail-oriented, able to spot data anomalies, and strong communication skills linking technical expertise with business needs.

Required skills

• SQL, Python, Java, Hive, Spark, Kafka and Flink.