Data Warehouse Engineer - Global E-Commerce Platform

TikTok; Singapore; On-site; SGD 56,000 - 100,000; Full time

Job summary

TikTok is hiring a Data Platform Engineer for its E-Commerce data team in Singapore. You will join a team that generates large data sets and builds data services for analytics. Fresh graduates are encouraged to apply, with onboarding by year-end and opportunities to pursue bold ideas that drive growth.

Expect to tackle end-to-end data warehouse work, ETL development, and collaboration with business and engineering teams to empower data-driven decisions.

Qualifications

• Bachelor's or Master's degree in CS/Software Engineering or related field.
• Solid understanding of data structures, algorithms, SQL and networks.
• Strong coding skills in at least one language (C, C++, Java, Python, or Golang).

Responsibilities

• Translate business requirements into technical designs for batch and real-time data warehouses.
• Lead data modeling and develop, maintain, and optimize ETL jobs.
• Collaborate with business teams to define data metrics from the warehouse.
• Build data products to support analysis and decision making.
• Participate in system rollouts, upgrades, and releases to improve efficiency.
• Develop analytical techniques to transform raw data into insights using programming and visualization tools.
• Apply data mining and ML techniques to extract information from large datasets.
• Visualize, interpret, and communicate data findings via dashboards and reports.

Skills

Programming languages

Algorithms

Data structures

SQL

Computer networks

Cross-functional collaboration

Education

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

Job description

TikTok is hiring a Data Platform Engineer for its E-Commerce data team in Singapore. You will join a team that generates large data sets and builds data services for analytics. Fresh graduates are encouraged to apply, with onboarding by year-end and opportunities to pursue bold ideas that drive growth.

Expect to tackle end-to-end data warehouse work, ETL development, and collaboration with business and engineering teams to empower data-driven decisions.