12 hours ago

Data Warehouse Engineer Graduate (Data Platform, TikTok Live) - 2026 Start (BS/MS)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Work with the Global Live Data team to build and operate offline and real-time data warehouses for TikTok Live. Handle large-scale data and support the full big-data lifecycle—from data generation and transmission to modeling, statistical analysis, experiment evaluation, and visualization. Design structured data flows, scheduling systems, query engines, data services, and tools that improve data usability and ensure efficient system operation.

Location: Singapore

Workplace: Onsite

Employment Type: Full time

Job Function: Supply Chain & Logistics

Seniority: Graduate level

Key Responsibilities

•Participate in constructing offline and real-time data warehouses for TikTok Live business.
•Handle PB-level large-scale data and process hundreds of billions of users’ data daily.
•Support the full big data lifecycle including generation, transmission, modeling, statistical analysis, experiment evaluation, and visualization.
•Build and design data flows, data warehouses, scheduling systems, and query engines.
•Develop data services, analysis systems, process specifications, and data tools to improve data usage and system reliability.

Key Requirements

•Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
•Strong coding skills in SQL, Python, Scala, or Java.
•Experience with big data tools/frameworks such as Spark, Hadoop, Hive, Flink, Kafka, or HBase.
•Ability to commit to an onboarding date by end of year 2026.
•State availability and graduation date clearly in the resume.

Experience:Big data

Education:Bachelor's

Skills:Self-motivation

Tech Stack:SQLPythonScalaJavaSparkHadoopHiveFlinkKafkaHBase

Company Brief

TikTok

Short-form video platform that lets users create, share, and discover entertainment content through algorithmic recommendations. It also offers advertising and creator tools for brands, influencers, and businesses.

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Singapore, Singapore

Founded: 2016

Website LinkedIn

Loading job details...

Preparing the role view and application actions.

TikTok

12 hours ago

Data Warehouse Engineer Graduate (Data Platform, TikTok Live) - 2026 Start (BS/MS)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Location: Singapore

Workplace: Onsite

Employment Type: Full time

Job Function: Supply Chain & Logistics

Seniority: Graduate level

Key Responsibilities

•Participate in constructing offline and real-time data warehouses for TikTok Live business.
•Handle PB-level large-scale data and process hundreds of billions of users’ data daily.
•Support the full big data lifecycle including generation, transmission, modeling, statistical analysis, experiment evaluation, and visualization.
•Build and design data flows, data warehouses, scheduling systems, and query engines.
•Develop data services, analysis systems, process specifications, and data tools to improve data usage and system reliability.

Key Requirements

•Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
•Strong coding skills in SQL, Python, Scala, or Java.
•Experience with big data tools/frameworks such as Spark, Hadoop, Hive, Flink, Kafka, or HBase.
•Ability to commit to an onboarding date by end of year 2026.
•State availability and graduation date clearly in the resume.

Experience:Big data

Education:Bachelor's

Skills:Self-motivation

Tech Stack:SQLPythonScalaJavaSparkHadoopHiveFlinkKafkaHBase

Company Brief

TikTok

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Singapore, Singapore

Founded: 2016

Website LinkedIn