Big Data Engineer: Real-Time Data Platform & Analytics

BYTEDANCE PTE. LTD.

Singapore

On-site

SGD 90,000 - 150,000

Full time

47 hours ago
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Benefits offered by this job

Career growth opportunity
Paid leave
Industry experts
Meals provided

Job summary

TikTok Singapore is seeking a Data Platform Data Engineer to empower the business with batch and streaming data, building a scalable Data Warehouse and data products that enable smarter decisions. You will translate requirements into technical designs, develop ETL pipelines, and collaborate with analytics teams to deliver metrics and dashboards.

The role emphasizes data modeling, data products, and ongoing improvements to data systems in a fast-growing tech environment.

Qualifications

  • At least 3 years in software engineering with 2+ years in data engineering.
  • Proficiency in creating and maintaining complex ETL pipelines end-to-end.
  • Familiar with data warehouse concepts and modeling for production.

Responsibilities

  • Translate business requirements & end-to-end designs into technical implementations for batch and real-time data warehouse.
  • Manage data modeling design, writing, and optimizing ETL jobs.
  • Collaborate with business teams to build data metrics from the data warehouse.
  • Build and maintain data products and dashboards for decision support.
  • Participate in rollouts, upgrades, and releases of data system changes.
  • Develop analytics applications to transform raw data into meaningful information.

Skills

End-to-end ETL
Data warehouse design
Batch & real-time data processing
Data modeling
Stakeholder engagement

Education

Degree in Computer Science / related field

Tools

Hive
Spark
Flink
NoSQL (HBase)

Job description

TikTok Singapore is seeking a Data Platform Data Engineer to empower the business with batch and streaming data, building a scalable Data Warehouse and data products that enable smarter decisions. You will translate requirements into technical designs, develop ETL pipelines, and collaborate with analytics teams to deliver metrics and dashboards.

The role emphasizes data modeling, data products, and ongoing improvements to data systems in a fast-growing tech environment.

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