Big Data & AI Web Engineer (JS/Node/Python)

Classy Wheeler Limited

Hong Kong

On-site

HKD 350,000 - 550,000

Full time

10 days ago

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Job summary

Classy Wheeler Limited in Hong Kong is seeking a programmer to develop reference modules and programs that accelerate the adoption of big data analytics, working with peer engineers to enhance web systems and support the deployment of artificial intelligence initiatives.

The role involves analyzing business requirements, designing robust algorithms and new features, and maintaining the analytics platform's theme pages and data sharing infrastructure.

Qualifications

  • Diploma or Bachelor's degree in Computer Science, Computer Engineering, Data Science, or related disciplines.
  • Familiarity with data querying in SQL or NoSQL databases is advantageous.
  • Exposure to ElasticSearch, Splunk, or Hadoop platforms is a significant plus.

Responsibilities

  • Develop reference modules and programs to facilitate the adoption of big data analytics
  • Collaborate closely with peer engineers to develop and enhance web systems
  • Analyze business requirements and design robust algorithms and new application features
  • Enhance and maintain theme pages for the big data analytics platform and data sharing infrastructure
  • Provide technical support for the deployment, implementation, and ongoing maintenance of AI and big data analytics initiatives

Skills

Analytical mindset
Communication skills
English proficiency
Chinese proficiency

Education

Diploma/Bachelor's Degree in CS/CE/Data Science

Tools

ElasticSearch
Splunk
Hadoop

Job description

Classy Wheeler Limited in Hong Kong is seeking a programmer to develop reference modules and programs that accelerate the adoption of big data analytics, working with peer engineers to enhance web systems and support the deployment of artificial intelligence initiatives.

The role involves analyzing business requirements, designing robust algorithms and new features, and maintaining the analytics platform's theme pages and data sharing infrastructure.

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