Big Data Engineer, Recommendation Architecture (ByteDance Singapore)
BYTEDANCE PTE. LTD.
Singapore, Singapore
Not specified; not specified; pyid leave included
Not specified, but likely hybrid or fully onsite based on the company culture.
Bachelor's degree in computer science or related field
Proficiency with hadoop, hive, flink, spark, kafka
Experience with java and c++ programming languages
ByteDance is seeking a Big Data Engineer for its Recommendation Architecture team in Singapore, focusing on designing and optimizing large-scale recommendation systems. The ideal candidate should have a strong background in big data frameworks and programming languages, as well as a passion for creativity and innovation
Job Summary
The Recommendation Architecture Team is responsible for building and optimizing the architecture for recommendation systems to provide the best user experience.
Engineers will design flexible, scalable, stable, and high-performance storage and computing systems while ensuring production system stability.
ByteDance offers a positive team atmosphere, career growth opportunities, and paid leave as part of its commitment to inspiring creativity.
Matching Summary
Match Score: 85
ByteDance is seeking a Big Data Engineer for its Recommendation Architecture team in Singapore, focusing on designing and optimizing large-scale recommendation systems. The ideal candidate should have a strong background in big data frameworks and programming languages, as well as a passion for creativity and innovation.
Salary
Not specified; Not specified; Paid leave included
Skills & Requirements
Must-have
Bachelor's degree in computer science or related field
Proficiency with Hadoop, Hive, Flink, Spark, Kafka
Experience with Java and C++ programming languages
Strong coding and troubleshooting abilities
Knowledge of distributed storage and computing systems
Nice-to-have
Familiarity with machine learning and NLP techniques
Experience with data visualization software
Ability to work in a diverse global team environment
Understanding of cost overhead reduction strategies
Curiosity and humility in a fast-paced setting
Key Requirements
Bachelor's degree in computer science, software engineering, or related field
Minimum familiarity with big data open source frameworks