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Cloud Engineer (Data & AI)

Singapore Job No. r00054195

Job Description

This role provides the opportunity to create the blueprints and solutions for the future. You will assess a company's potential data sources (internal and external) and design a plan to integrate, centralise, protect and maintain. This allows our clients to imagine and attain a platform that will provide them access to critical information in the right place, at the right time.

  • Project lead technology consulting engagements and solution meetings 
  • Evaluate the current state of the client’s databases and data systems to identify database structural necessities
  • Identify new solutions to increase efficiency and performance
  • Design and implement effective database solutions and models to store and retrieve data
  • Deliver the overall database structure, including recovery, security, backup, and capability specifications
  • Assess database implementation procedures to ensure they comply with internal and external regulations
  • Prepare accurate database design and architecture reports for management and stakeholders
  • Implement the database solutions including developing process flows, coordinating with data engineers and analysts, and documenting the installation process.
  • Oversee the migration of data from legacy systems to new solutions.
  • Monitor the system performance by performing regular tests, troubleshooting, and integrating new features.

Qualifications

  • In-depth understanding of Big Data & Analytics landscape and experience in building end to end architecture using distributed and Big Data ecosystem components
  • 10+ years of experience working with pure data processing and big data technologies
  • 3+ years in a people management role
  • Strong project management and organizational skills
  • Technical leadership in delivering the scalable data and AI/ML architecture by understanding client requirements and in designing event driven architecture
  • Previous exposure to open source technologies related to big data and data on cloud
  • Ability to lead the architecture discussions with technical and business teams

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