Job description

Responsibilities
  • Conduct big data analytics and , generate dashboards/visualizations/reports for performance monitoring of railway systems
  • Maintaining the availability, integrity and security of the data in Data Studio based on the internal data governance standards and polices.
  • Build, test and maintain the highly scalable data pipeline for acquiring data from multiple data sources
  • Develop data models and pattern identification (i.e. predictive models and machine-learning algorithms) to address railways operations and maintenance problems
  • Provide real-time analytics support to incident handling and recovery, by setting up and maintaining automated data processes and pipelines
  • Supervise and coordinate with stakeholders on data related projects
  • Assist in building and deploying web applications, API and Cloud base services
  • Monitor and maintain the performance of servers, computer systems, define security and backup procedures
Requirements
  • Degree in Mathematics / Computer Science / Information Technology / Engineering or a related discipline
  • A minimum of 3 years’ post academic experience in collecting, analyzing and interpreting Big Data to identify ways to improve business operations
  • Certified Cloud professional is preferred
  • Be self-driven and innovative with good data analytical skill
  • Knowledge of railways industry and hands-on experience in Database program, Big Data technologies, Intelligence solutions are preferred
Applications

You are invited to apply online via http://www.mtr.com.hk/mtr_job_en or send in your CV stating the position (with reference number) you are applying for by mail to Human Resource Management Department, MTR Corporation, G.P.O. Box 9916, Hong Kong on or before 7 June 2023.

For other job openings, please visit MTR Corporation's website for more details.

All information provided by applicants will be treated in strict confidence and used for recruitment purpose only. All personal data of unsuccessful applicants will be retained for 12 months for future recruitment purpose and will then be destroyed.

Primary Location

Hong Kong

Schedule

Full-time

Job Posting

25/May/23, 1:41:38 PM

Closing Date

07/Jun/23, 11:59:00 PM

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