Big Data Engineer - E‑Commerce Recommendation & Search Infra

TIKTOK PTE. LTD.; Singapore; On-site; SGD 52,000 - 72,000; Full time

Benefits offered by this job

Yoga and fitness

Stock options

Positive team atmosphere

Career growth opportunity

Paid leave

Flat organization

100+ mil users

Industry experts

Competitive compensation

Flexible hours

Job summary

TikTok PTE. LTD. in Singapore is seeking graduates in AI/CS/Software/CE to join the Search and Recommendation Infra teams. You will design offline data architectures, build scalable data systems, and collaborate with ML engineers to optimize pipelines and models.

The role focuses on end-to-end data processing, ML-driven insights, and large-scale e-commerce support. Strong coding, collaboration, and quick learning are valued.

Qualifications

• Candidates completing or recently completed a Bachelor’s or Master’s degree in AI, software development, CS, or CE.
• Proficiency with open-source big data frameworks (Hadoop, Spark, Kafka, Flink, Hive, ElasticSearch, etc.).
• Familiar with Java and C++ and other programming languages.
• Strong coding and troubleshooting ability.

Responsibilities

• Design and implement offline data architectures for large-scale e-commerce recommendation and search systems.
• Build scalable storage and compute systems for e-commerce big data workloads.
• Ensure production system stability through troubleshooting and tooling development.
• Develop data analytics and visualization to transform raw data into insights.
• Apply data mining, machine learning, and NLP to large-scale datasets.
• Optimize data pipelines for feature generation, model training, and search index construction.

Skills

Java

C++

Education

Bachelor's or Master's degree in AI/CS/Software/CE

Tools

Hadoop

Hive

Flink

FlinkSQL

Spark

Kafka

HBase

Redis

RocksDB

ElasticSearch

Job description

TikTok PTE. LTD. in Singapore is seeking graduates in AI/CS/Software/CE to join the Search and Recommendation Infra teams. You will design offline data architectures, build scalable data systems, and collaborate with ML engineers to optimize pipelines and models.

The role focuses on end-to-end data processing, ML-driven insights, and large-scale e-commerce support. Strong coding, collaboration, and quick learning are valued.