Data Warehouse Engineer — Global E‑Commerce Platform

TikTok; Singapore; On-site; SGD 54,000 - 80,000; Full time

Job summary

TikTok is seeking a Data Warehouse Engineer Graduate to join the Data Platform team supporting Global E-Commerce. This 2027-start role offers exposure to batch and real-time data warehouses, data modeling, and ETL development in a global environment.

You will translate business needs into scalable data solutions, build data products for analytics, and collaborate with cross-functional teams to define metrics and dashboards that drive insights.

Qualifications

• Bachelor's or Master's degree in CS, software engineering, or related field.
• Strong CS fundamentals: data structures, algorithms, SQL, networks.
• Proficient in at least one language (C, C++, Java, Python, or Go).
• Strong interest in data warehousing and ETL development.
• Excellent communication and cross-functional collaboration.

Responsibilities

• Translate business requirements into technical implementations for batch and real-time data warehouses.
• Lead data modeling and develop ETL jobs.
• Collaborate with business teams to define data metrics.
• Build data products to support analysis and decision-making.
• Support system rollouts, upgrades, and releases to improve efficiency.
• Develop analytics techniques and data applications to transform data into insights.
• Apply data mining, modeling, NLP, and ML to extract insights from large datasets.
• Create dynamic reports and dashboards to visualize findings.

Skills

SQL

Data structures

Algorithms

C/C++/Java

Data warehousing

Education

Bachelor's / Master's degree in Computer Science or related field

Job description

TikTok is seeking a Data Warehouse Engineer Graduate to join the Data Platform team supporting Global E-Commerce. This 2027-start role offers exposure to batch and real-time data warehouses, data modeling, and ETL development in a global environment.

You will translate business needs into scalable data solutions, build data products for analytics, and collaborate with cross-functional teams to define metrics and dashboards that drive insights.