Live Data Engineer Intern: Real-Time Analytics & Streaming

TikTok; Singapore; On-site; SGD 13,000 - 20,000; Part time

Job summary

TikTok Singapore is offering an internship in the Live Recommendation Architecture Team. You will design offline and real-time data processing architectures for live broadcast recommendation systems, build distributed storage and stream computing systems, and develop real-time analytics platforms to support operations and algorithm iterations.

Ideal candidates are pursuing a Bachelor’s or Master’s in CS/CE/IS, familiar with Hadoop/Spark/Kafka/HBase, and proficient in Java or C++.

Qualifications

• Pursuing a Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Information Systems, or a related technical discipline
• Familiarity with big data frameworks including Hadoop, Hive, Flink, Spark, Kafka, HBase, or RocksDB
• Proficiency in Java or C++ programming, with strong coding and troubleshooting abilities
• Experience with real-time data processing or live streaming related systems
• Strong sense of ownership and ability to deliver results in fast-paced environments
• Good team collaboration skills and cross-cultural communication abilities

Responsibilities

• Design and implement offline and real-time data processing architectures for live broadcast recommendation systems
• Build distributed storage and stream computing systems optimized for high-volume real-time live streaming data processing
• Develop real-time data analytics platforms to support live broadcast business operation and algorithm iteration

Skills

Java

C++

Big data frameworks

Real-time data processing

Distributed systems

Ownership

Cross-cultural communication

Team collaboration

Education

Bachelor's or Master's degree in Computer Science / Computer Engineering / Information Systems

Tools

Hadoop

Spark

Kafka

HBase

Job description

TikTok Singapore is offering an internship in the Live Recommendation Architecture Team. You will design offline and real-time data processing architectures for live broadcast recommendation systems, build distributed storage and stream computing systems, and develop real-time analytics platforms to support operations and algorithm iterations.

Ideal candidates are pursuing a Bachelor’s or Master’s in CS/CE/IS, familiar with Hadoop/Spark/Kafka/HBase, and proficient in Java or C++.