Leverage data modelling and engineering techniques, statistics, data technologies and cloud computing platforms to develop integrated, innovative data-driven solutions
Job Summary
Leverage data modelling and engineering techniques, statistics, data technologies and cloud computing platforms to develop integrated, innovative data-driven solutions.
Architect the backbone of Singapore's energy data ecosystem and leverage distributed computing frameworks (Spark) and cloud-native services to build robust data lakes and real-time streaming analytics.
Work with business users, project teams, government agencies, international organizations and industry partners to explore new AI/ML and data technologies, tools and techniques in the energy sector.
Matching Summary
Leverage data modelling and engineering techniques, statistics, data technologies and cloud computing platforms to develop integrated, innovative data-driven solutions.
Skills & Requirements
Must-have
Data modeling and engineering techniques
Cloud computing platforms
Distributed computing frameworks (Spark)
Cloud-native services
ETL processes
Data quality processes
Data governance policies
Nice-to-have
Innovative and 'out of the box' solutions
Independent problem-solving mindset
Strong interpersonal skills
Committed team player
Gen AI technologies (LLM models)
Key Requirements
Education in quantitative disciplines
Relevant working experience
Strong knowledge of data/cloud technologies
Programming languages: SAS, R, Python, Java, or Scala