Big Data Engineer - Short-Text Recommendation Architecture

TIKTOK PTE. LTD.; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

TikTok PTE. LTD. in Singapore is hiring for a Recommendation Architect role focused on building and optimizing an offline data architecture for large-scale recommendation systems. The job emphasizes scalable storage and computing, data analytics, and applying ML/NLP to extract insights.

You will design robust data pipelines, troubleshoot production systems, and contribute to a high-performance distributed infrastructure supporting massive data and user-facing features.

Qualifications

• Bachelor's degree or above in Computer Science or related field with at least 1 year of experience.
• Familiar with many open source frameworks in big data (Hadoop, Hive, Flink, FlinkSQL, Spark, Kafka, HBase, Redis, RocksDB, ElasticSearch).
• Experience programming in C, C++, Java or Golang.
• Effective communication skills and a sense of ownership and drive.

Responsibilities

• Design and implement offline data architecture for large-scale recommendation systems.
• Design and implement scalable, stable storage and computing systems.
• Troubleshoot production systems and build tools to ensure stability of operations.
• Develop distributed storage and computing infrastructure for large-scale data.
• Build analytics applications to transform raw data into meaningful information.
• Apply data mining, NLP, and machine learning to extract insights.
• Visualise and report data findings, creating dynamic data reports as needed.

Skills

C

C++

Java

Golang

Big data frameworks

Hadoop

Hive

Flink

Spark

Kafka

HBase

Redis

RocksDB

ElasticSearch

Education

Bachelor's degree or above

Tools

Hadoop

Hive

Flink

FlinkSQL

Spark

Kafka

HBase

Redis

RocksDB

ElasticSearch

Job description

TikTok PTE. LTD. in Singapore is hiring for a Recommendation Architect role focused on building and optimizing an offline data architecture for large-scale recommendation systems. The job emphasizes scalable storage and computing, data analytics, and applying ML/NLP to extract insights.

You will design robust data pipelines, troubleshoot production systems, and contribute to a high-performance distributed infrastructure supporting massive data and user-facing features.