12 hours ago

Data Warehouse Engineer Intern (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

Build and help operate offline and real-time data warehouses for TikTok Live business. Work on PB-scale datasets and support end-to-end big data services, from data generation and transmission to modeling, statistical analysis, experiment evaluation, and visualization. Design data flows, warehouses, scheduling, query engines, and data services to lower the barrier to data usage and keep systems running efficiently.

Location: Singapore

Workplace: Onsite

Employment Type: Internship

Job Function: Supply Chain & Logistics

Seniority: Intern level

Key Responsibilities

•Participate in the construction of 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.
•Provide end-to-end big data services including data generation, transmission, modeling, statistical analysis, experiment evaluation, and visualization.
•Build and design well-structured data flows, data warehouses, and scheduling systems.
•Design query engines, data services, analysis systems, and data tools/products to improve data accessibility and system efficiency.

Key Requirements

•Currently pursuing an undergraduate or postgraduate Degree/Master in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
•Strong coding skills in SQL, Python, Scala, Java, or similar languages.
•Experience with big data tools/frameworks such as Spark, Hadoop, Hive, Flink, Kafka, and HBase (preferred).
•Passion and self-motivation about big data technologies.
•Ability to commit to at least a 3-month internship period.

Experience:Big data

Education:Bachelor's

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

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TikTok

12 hours ago

Data Warehouse Engineer Intern (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: Internship

Job Function: Supply Chain & Logistics

Seniority: Intern level

Key Responsibilities

•Participate in the construction of 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.
•Provide end-to-end big data services including data generation, transmission, modeling, statistical analysis, experiment evaluation, and visualization.
•Build and design well-structured data flows, data warehouses, and scheduling systems.
•Design query engines, data services, analysis systems, and data tools/products to improve data accessibility and system efficiency.

Key Requirements

•Currently pursuing an undergraduate or postgraduate Degree/Master in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
•Strong coding skills in SQL, Python, Scala, Java, or similar languages.
•Experience with big data tools/frameworks such as Spark, Hadoop, Hive, Flink, Kafka, and HBase (preferred).
•Passion and self-motivation about big data technologies.
•Ability to commit to at least a 3-month internship period.

Experience:Big data

Education:Bachelor's

Tech Stack:SQLPythonScalaJavaSparkHadoopHiveFlinkKafkaHBase

Company Brief

TikTok

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Singapore, Singapore

Founded: 2016

Website LinkedIn