Big Data Architect - Short-Text Recommendation Systems

TikTok Pte. Ltd.; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

A leading tech company in Singapore is seeking a skilled engineer to join their Recommendation Architecture Team. This role involves designing and implementing scalable data architectures for massive recommendation systems used in applications. Candidates should have a bachelor's degree in Computer Science, familiarity with big data frameworks, and experience in programming (C/C++/Java/Golang). This exciting position focuses on optimizing user experience for millions of users through advanced data processing techniques.

Qualifications

• Bachelor's degree or above in Computer Science or related fields with at least 1 year of experience.
• Familiar with numerous open-source frameworks in big data.
• Effective communication skills with a sense of ownership.

Responsibilities

• Design and implement offline data architecture for large-scale recommendation systems.
• Develop and implement storage and computing systems that are scalable and stable.
• Trouble-shoot production systems to ensure overall stability and operation.
• Build reliable infrastructure for massive data and large-scale systems.

Skills

Open source frameworks

Programming in C, C++, Java, or Golang

Data mining

Natural language processing

Machine learning

Education

Bachelor's degree in Computer Science or related fields

Tools

Hadoop

Hive

Flink

Spark

Kafka

HBase

Redis

RocksDB

ElasticSearch

Job description

A leading tech company in Singapore is seeking a skilled engineer to join their Recommendation Architecture Team. This role involves designing and implementing scalable data architectures for massive recommendation systems used in applications. Candidates should have a bachelor's degree in Computer Science, familiarity with big data frameworks, and experience in programming (C/C++/Java/Golang). This exciting position focuses on optimizing user experience for millions of users through advanced data processing techniques.