This site uses cookies. To find out more, see our Cookies Policy

Scrum Master in Singapore at NTT DATA Singapore

Date Posted: 6/1/2018

Job Snapshot

  • Employee Type:
    Contractor
  • Location:
    Singapore
  • Date Posted:
    6/1/2018

Job Description

  • Handle Data profiling together and prepare GAP analysis
  • Update statuses of the project via Confluence & sharepoint where needed
  • Facilitates with the users to understand the requirement
  • Facilitates with the development team to ensure that the changes are in-place
  • Handles for the required changes/ enhancements
  • Liaised with system owners for clarifications and confirmations for data understanding
  • Ensure end-to-end SDLC cycles
  • Drives various agile initiatives and make an immediate impact 
  • Focus on 1-3 Scrum teams delivering Applications and Platform capabilities in Big Data
  • Act as a facilitator for the Product Owner and the team
  • Work to remove any impediments that are obstructing the team from achieving its sprint goals
  • Helps the team remain creative and productive while making sure its successes are visible to the Product Owner
  • Also, work to advise the Product Owner about how to maximize ROI for the team
  • Expects to work independently or collaborate in teams where necessary with minimal supervision
  • Able to multi-task and handle challenges in a dynamic and fast changing environment

Job Requirements

  • A Bachelor’s degree in information system or computer science related (or equivalent experience)
  • 12 to 15 years of experience in banking / insurance environment
  • Preferably trained in Agile methodology and as Scrum master for at least 2 to 4 projects
  • Proficient in Confluence & Jira
  • Excellent facilitation and communication skills
  • Previous work experience in Big Data environment is a plus
  • Scrum Master Certification is a huge plus
  • Meticulous & able to understand Agile and full data warehouse flow
  • Understand database languages for analysing data out of data warehouse
  • Able to interpret metadata for upstream to downstream end-to-end
  • With real-time knowledge will be added advantage