Data Engineer / Data Management - Toa Payoh

apartmentAMARIS CONSULTING PTE. LTD. placeToa Payoh descriptionPermanent calendar_month 

Summary:

  • The successful candidate will be involved in the data management tasks
  • Expected to possess knowledge of the financialindustry
  • Should be good with data visualization
  • Experience with programming languages such as Python, Java, SQL etc.

Responsibilities:

  • Work closely with business stakeholders, data engineers to implement and support data distribution solution.
  • Design an optimal onboarding process with clear visibility of the various life cycle of a product.
  • Contribute, influence, and validate the design of data distribution solutions to ensure they meet both business and operational needs.
  • Perform data access control operations to ensure data ingested and distributed comply with enterprise data governance and data handling standards.
  • Lead the dataset registration conversation with business and metadata team to ensure that the dataset are properly registered.
  • Document the business requirements clearly.
  • Perform user acceptance testing on the data distribution channel and ensure that it meets the requirements.
  • Identify opportunities for continuous improvement in assigned area of work
Skillset
  • 2 to 3 years of working experience, with relevant experience in data management and the financial services industry.
  • Good understanding of the principles, key controls and processesrelating to data management, as well as data integration and data distribution.
  • Familiarity with data visualization tool (e.g. Tableau, PowerBI) and data virtualization technology such as Denodo will be advantageous.
  • Strong analytical skill with passion in complex problem solving.
  • Basic coding skill will be advantageous.
  • Excellent written and verbal communication skills.
  • Strong interpersonal skill to interact with diverse stakeholders.
  • Agile, fast learner and able to adapt to changes.
  • Experience with the System Development Life Cycle (SDLC) implementation methodology and/or Agile methodologies like Scrum and Kanban.
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