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Big Data Engineer - Data Platform, Global E-Commerce

Exclusive opportunity

Onsite

Big Data Engineer - Data Platform, Global E-Commerce

TikTok Pte. Ltd.

Big Data Engineer - Data Platform, Global E-Commerce

Skills

Big DataData EngineeringE-commerce WebsitesData MiningData AnalysisMachine LearningNLP / Natural Language Processing

14 days ago

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Important information


Contract type:

Permanent

Location:

Singapore

Work mode:

Onsite

Published on:

7 October 2026

What they need


Responsibilities

The mission of the Data Platform Singapore Business Partnering (DPSG BP) team is to empower the business with data. Our goal is to build a Data Warehouse that can cater to batch and streaming data, Data Products that provide useful information to build efficient data metrics & dashboards which will be used to make smarter business decisions to support business growth. If you're looking for a challenging ground to push your limits, this is the team for you! Responsibilities

  • Translate business requirements & end to end designs into technical implementations and responsible for building batch and real-time data warehouse.
  • Manage data modeling design, writing, and optimizing ETL jobs.
  • Collaborate with the business team to build data metrics based on data warehouse.
  • Responsible for building and maintaining data products.
  • Involvement in rollouts, upgrades, implementation, and release of data system changes as required for streamlining of internal practices.
  • Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software.
  • Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets.
  • Visualise, interpret, and report data findings and may create dynamic data reports as well.

Qualifications

Minimum Qualification(s):

  • At least 3 years of experience in software engineering and 2 years of relevant experience in data engineering.
  • Proficient in creating and maintaining complex ETL pipelines end-to-end while maintaining high reliability and security.
  • Familiar with data warehouse concepts and have production experience in modeling design.
  • Familiar with at least 1 distributed computing engine (e.g. Hive, Spark, Flink).

Preferred Qualification(s):

  • Familiar with at least 1 NoSQL database is a plus (e.g. HBase).
  • Excellent interpersonal and communication skills with the ability to engage and manage internal and external stakeholders across all levels of seniority.
  • Strong collaboration skills with the ability to build rapport across teams and stakeholders.

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