Big Data Engineer (Recommendation Architecture)

Singapore 全职 View Job Description

职责描述
职位概要
类似职位

My client is a global leader in tech industry
This opportunity offers competitive salary package

关于我们的客户

The client is a leading global tech company renowned for its innovative approach to social media and entertainment. With a mission to inspire creativity and bring joy, the company operates at the forefront of mobile video and content platforms, connecting millions of users worldwide and fostering a dynamic, fast-paced work environment focused on continuous innovation and growth.

职责描述

Design and optimize scalable data architectures for large-scale recommendation systems.
Build stable, high-performance storage and computing systems.
Troubleshoot production issues to ensure system stability.
Develop distributed data storage and computing infrastructure.
Apply data mining and machine learning for insights from large datasets.
Create dynamic data reports to communicate findings.

理想的求职者

Bachelor's degree or higher in Computer Science, Software Engineering, or a related field.
Strong proficiency in Java, C++, and troubleshooting complex systems.
Experience with big data frameworks like Hadoop, Hive, Flink, Spark, Kafka, and Redis.
Skilled in processing large-scale datasets (ideally at petabyte scale).
Project experience related to personalised recommendation or search engines is much preferred.
Proactive problem solver with a passion for learning new technologies.
Ability to work independently and collaboratively in a fast-paced environment.

薪酬待遇

Opportunity to work on industry-leading big data solutions and large-scale recommendation systems.
Chance to be part of a dynamic and innovative team driving impact on a global scale.
A supportive work environment with extensive resources for professional growth and continuous learning.
Location in Singapore, offering access to multilingual education resources and international career development.

联系

Lydia Chen (Lic No: R22108104 / EA no: 18C9065)

职位编号

JN-092024-6541453

联系电话

+65 6416 9829