Big Data Engineer, Scalable Recommendation Architect

TIKTOK PTE. LTD.; Singapore; Presencial; SGD 120 000 - 180 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Positive team atmosphere

Career growth opportunity

Paid leave

Resumo da oferta

TikTok PTE. LTD. is seeking a Senior Software Engineer for its Recommendation Architecture Team in Singapore.

You will design and implement large-scale data processing systems to support the recommendation engine, ensuring stability, scalability, and cost efficiency across offline data workflows and online services. The role emphasizes building high-performance storage and computing systems, applying data mining and ML techniques, and collaborating with cross-functional teams to drive product

Qualificações

• Bachelor’s degree or higher in CS/SE or related field.
• Familiar with open source big data frameworks (Hadoop, Hive, Flink, Spark, Kafka, HBase, Redis, RocksDB, Elasticsearch).
• Proficiency in Java, C++, and other programming languages.
• Strong coding and troubleshooting abilities.

Responsabilidades

• Design and implement large-scale data processing systems for recommendation workloads.
• Build scalable, high-performance storage and compute infrastructure.
• Troubleshoot production systems and ensure overall stability of operations.
• Develop data analytics and ML-oriented components to extract insights from large datasets.
• Contribute to architecture decisions for offline data processing and real-time services.

Conhecimentos

Java

C++

Coding

Troubleshooting

Formação académica

Bachelor's degree or above in computer science, software engineering, or related field

Ferramentas

Hadoop

Hive

Flink

Spark

Kafka

HBase

Redis

RocksDB

ElasticSearch

Descrição da oferta de emprego

TikTok PTE. LTD. is seeking a Senior Software Engineer for its Recommendation Architecture Team in Singapore.

You will design and implement large-scale data processing systems to support the recommendation engine, ensuring stability, scalability, and cost efficiency across offline data workflows and online services. The role emphasizes building high-performance storage and computing systems, applying data mining and ML techniques, and collaborating with cross-functional teams to drive product