Graduate Data Warehouse Engineer (TikTok Live)

About the role

TikTok is hiring a graduate Data Warehouse Engineer for its Global Live Data Business Partner (BP) team, which builds data warehouses supporting both batch and streaming data processing for the TikTok Live business. The team also delivers data products with metrics and dashboards that give actionable insights. The start date is 2027, and successful candidates must be able to commit to an onboarding date by the end of the year.

Key responsibilities

• Participate in building offline and real-time data warehouses for the TikTok Live business.
• Work with PB-scale data and support the daily processing of hundreds of billions of user data records.
• Support the full big data lifecycle, from data generation and transmission to modeling, statistical analysis, experiment evaluation and visualization.
• Design and build scalable data flows, data warehouses, scheduling systems, query engines, data services, analytics systems, process standards and data tools and products.

Required profile

• Completing or recently completed a Bachelor's or Master's degree in Computer Science, Software Engineering or a related technical discipline.
• Solid technical foundation with strong coding skills in SQL, Python, Scala, Java or similar languages.
• Preferred: experience with big data tools and frameworks such as Spark, Hadoop, Hive, Flink, Kafka and HBase; strong interest in big data technologies and a proactive learning mindset.

Candidates can apply to a maximum of two positions and are considered in the order of application; applications are reviewed on a rolling basis.