Manager, Enterprise Data Science Platform, Group Operations & Technology Manager, Enterprise Data Science Platform, Group  …

OCBC Bank
in Singapore, Singapore, Singapore
Permanent, Full time
Be the first to apply
Competitive
OCBC Bank
in Singapore, Singapore, Singapore
Permanent, Full time
Be the first to apply
Competitive
OCBC Bank
Manager, Enterprise Data Science Platform, Group Operations & Technology
  • Provide daily support for Enterprise Data Science Platform
    • Ensure services are up and running
    • Perform daily health check on servers
    • Linux server management
    • Manage Kubernetes cluster
    • Troubleshoot system level issues and resolve recovery to minimize disruptions
    • Docker image management
  • Ensure that platform configurations adhere to internal security guidelines
  • Deploy new platform patches (and roll-back if required)
  • Perform backup and restoration of data when required
  • Provide technical support to platform users
  • Track issues reported by users with platform vendor until resolution
  • Highly analytical with strong understanding of the IT fundamentals and general knowledge on Enterprise IT
  • Able to work on duty support shift for onsite support
  • Positive attitude towards continuous learning.
  • Strong interpersonal and communication skills


Qualifications
  • Bachelor's Degree or equivalent work experience. Hands-on experience in Linux, Kubernetes and Docker (maintenance and support) is mandatory
  • Hands-on experience in supporting data science platform (eg: IBM Watson Studio) for model building and deployment
  • Basic understanding on the overall data science pipeline, from Library management (R, Python), Docker image management, Scripting, Hadoop integration to Productionizing machine learning models
  • Experience in python scripting for Data Science/Machine Learning
  • Experience in scripting in Bash to automate the admin jobs like housekeeping of logs.
  • Experience in DevOps (ansible, bitbucket, Jenkins and etc) is a plus which will be used to automate the internal data pipeline process like deployment etc
  • Experience in checking on performance issues / tuning on any flavours of Unix preferably Redhat
  • Experience & know how of High availability and DR
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