15 hours ago

Data Warehouse Engineer - Data Platform, TikTok TnS

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 15 hours agoStatus: Live

Job Summary

Build and evolve TikTok’s data warehouse to support both batch and streaming pipelines. Design data warehouse architectures, perform data modeling, and develop ETL pipelines that power data products for metrics and dashboards used in business decision-making. Own optimization and troubleshooting for large-scale ETL, contribute to data governance across complex dependencies, and implement data solutions for business scenarios using ByteDance’s mid-tier architecture and systems.

Location: Singapore

Workplace: Onsite

Employment Type: Full time

Job Function: Supply Chain & Logistics

Key Responsibilities

•Design and implement data warehouse architectures, data modeling, and ETL pipeline development.
•Optimize data ETL processes and resolve technical issues related to large-scale data ETL.
•Participate in data governance under complex data link dependencies and diverse data content ecosystems.
•Implement data solutions for business scenarios using ByteDance’s mid-tier architecture and product systems.

Key Requirements

•Proficiency in data warehouse implementation methodologies, with in-depth understanding of data warehouse systems and experience supporting business scenarios.
•Strong coding skills across multiple tools/languages including SQL, Python, Java, Hive, Spark, Kafka and Flink.
•Experience developing data warehouse architectures, data modeling, and ETL pipeline development.
•Ability to optimize large-scale data ETL processes and resolve technical issues.
•Data-sensitive mindset to identify anomalies in data and strong communication skills to align technical work with business needs.

Skills:CommunicationProblem-solvingMeticulousAnomaly detectionTechnical-business integration

Tech Stack:SQLPythonJavaHiveSparkKafkaFlink

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

15 hours ago

Data Warehouse Engineer - Data Platform, TikTok TnS

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 15 hours agoStatus: Live

Job Summary

Location: Singapore

Workplace: Onsite

Employment Type: Full time

Job Function: Supply Chain & Logistics

Key Responsibilities

•Design and implement data warehouse architectures, data modeling, and ETL pipeline development.
•Optimize data ETL processes and resolve technical issues related to large-scale data ETL.
•Participate in data governance under complex data link dependencies and diverse data content ecosystems.
•Implement data solutions for business scenarios using ByteDance’s mid-tier architecture and product systems.

Key Requirements

•Proficiency in data warehouse implementation methodologies, with in-depth understanding of data warehouse systems and experience supporting business scenarios.
•Strong coding skills across multiple tools/languages including SQL, Python, Java, Hive, Spark, Kafka and Flink.
•Experience developing data warehouse architectures, data modeling, and ETL pipeline development.
•Ability to optimize large-scale data ETL processes and resolve technical issues.
•Data-sensitive mindset to identify anomalies in data and strong communication skills to align technical work with business needs.

Skills:CommunicationProblem-solvingMeticulousAnomaly detectionTechnical-business integration

Tech Stack:SQLPythonJavaHiveSparkKafkaFlink

Company Brief

TikTok

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Singapore, Singapore

Founded: 2016

Website LinkedIn