Data Warehouse Engineer (Global Live) - TikTok

TikTok
Singapore
Workplace: OnsiteFull timeFunction: Supply Chain & LogisticsEducation: bachelorsSkills: ["Self-motivated","Establishing best engineering practice"]

Build and scale TikTok’s Data Warehouse for both batch and streaming workloads, enabling Data Products that power efficient metrics and dashboards for business decision-making. You’ll design and implement reliable data transformations, ETL pipelines, and extensible big data systems that support core products and growth analytics. Collaborate with engineers and non-technical stakeholders by establishing strong engineering practices and durable design standards.

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FursaFursa
TikTok
TikTok
1 month ago

Data Warehouse Engineer (Global Live) - TikTok

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Build and scale TikTok’s Data Warehouse for both batch and streaming workloads, enabling Data Products that power efficient metrics and dashboards for business decision-making. You’ll design and implement reliable data transformations, ETL pipelines, and extensible big data systems that support core products and growth analytics. Collaborate with engineers and non-technical stakeholders by establishing strong engineering practices and durable design standards.
Location: Singapore
Workplace: Onsite
Employment Type: Full time
Job Function: Supply Chain & Logistics

Key Responsibilities

  • •Design and build reliable data transformations for reporting, growth analysis, and multi-dimensional analysis.
  • •Design and implement scalable, robust, and extensible big data systems supporting core products and business.
  • •Build data pipelines and systems for batch and streaming data workloads.
  • •Establish strong design and best engineering practices for both engineers and non-technical stakeholders.
  • •Contribute to Data Products that provide metrics and dashboards to support smarter business decisions.

Key Requirements

  • •Bachelor’s or Master’s degree in Computer Science or a related technical field (or equivalent practical experience).
  • •Experience with Big Data technologies such as Hadoop, MapReduce, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, and Flink.
  • •Experience performing data analysis, data ingestion, and data integration.
  • •Experience with ETL (Extraction, Transformation & Loading) and architecting data systems.
  • •Preferred: schema design, data modeling, and SQL queries.
Experience:Big dataData warehousingStreaming dataETL
Education:Bachelor's in Computer Science or related technical field
Skills:Self-motivatedEstablishing best engineering practice
Tech Stack:HadoopMapReduceHiveSparkMetastorePrestoFlumeKafkaClickHouseFlinkETLSQLData ingestionData integration

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
WebsiteLinkedIn