You will 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
Job Summary
You will 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.
The key responsibilities of the officer include: Design, build, deploy, manage and maintain end-to-end data processes, data products and related solutions such as AI/ML models and simulation models.
Working 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
You will 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.
Skills & Requirements
Must-have
Data modeling and engineering techniques
Cloud computing platforms
Distributed computing frameworks (Spark)
Scalable and reliable ETL processes
Data quality processes and frameworks
Programming languages like SAS, R, Python, Java, or Scala
Nice-to-have
Independent problem-solving mindset
Innovative and 'out of the box' solutions
Strong interpersonal skills
Committed team player
Interest to shape Singapore's energy landscape
Key Requirements
Relevant working experience
Strong knowledge of data/cloud technologies
Strong foundation in data modeling
Experience with AWS/Azure data services advantageous