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Michael Page

Big Data Engineer (Recommendation Architecture)

Early Applicant
  • 11 days ago
  • Be among the first 50 applicants

Job Description

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

About Our Client


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.

Job Description

  • 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.

The Successful Applicant


  • 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.

What's on Offer


  • 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.

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


Quote job ref: JN-092024-6541453

More Info

Industry:Other

Function:technology

Job Type:Permanent Job

Skills Required

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Date Posted: 13/11/2024

Job ID: 100272465

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