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; on a variety of data platforms on the Government Commercial Cloud as well as on-premise setups.
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; and identify new deployable solutions to support and advance EMA's core work and strategic goals.
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)
ETL process development
Data quality processes and frameworks
Programming languages (SAS, R, Python, Java, Scala)
Nice-to-have
Innovative and 'out of the box' solutions
Strong desire to shape energy landscape
Independent problem-solving mindset
Strong interpersonal skills
Committed team player
Key Requirements
Education in quantitative disciplines
Relevant working experience in data engineering/management/analytics/ML
Strong knowledge of data/cloud technologies
Strong foundation in data modeling
Experience with AWS/Azure data services advantageous