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Artificial Intelligence • Hardware • Information Technology • Machine Learning
The EHS Senior Engineer will implement EHS programs, conduct audits, ensure compliance, maintain records, and promote a safety culture at the construction site.
Top Skills:
MS OfficeSafety Management Systems
Artificial Intelligence • Hardware • Information Technology • Machine Learning
The Data Scientist role involves designing advanced image processing solutions, applying computer vision and machine learning to engineering problems, collaborating with engineers, and developing tools to improve efficiency and innovation in manufacturing.
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KerasMatlabOpencvPythonPyTorchRScikit ImageTensorFlow
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Lead engineering and maintenance of Control and SMART Facility systems, ensuring safety, reliability, and efficiency in semiconductor manufacturing. Mentor engineers, manage projects, and advance innovative solutions.
Top Skills:
HadoopPlcPythonRScadaSQLWeb Development
Key Responsibilities:
- Migration & Technical Implementation:
- Lead migration of on-premises and SharePoint-based data infrastructure to AWS Data Analytics Platform (DAP)
- Collaborate with AWS teams to develop comprehensive migration strategies and implementation plans
- Re-architect existing Python scripts and UiPath automation workflows for AWS SageMaker or Glue scripts
- Design and implement robust data pipelines and ETL processes within AWS environment
- Migrate Tableau dashboards to AWS QuickSight whilst maintaining full functionality
- Establish data connections from multiple sources (HRPS, Gateway, SharePoint, Microsoft Lists, FormSG, MS Access)
- Ensure seamless transition with zero disruption to existing data operations
- Documentation & Knowledge Transfer:
- Create comprehensive documentation for all new AWS processes and workflows
- Develop training materials and conduct knowledge transfer sessions for end users
- Support HR officers in accessing and utilising dashboards in the new AWS environment
- Conduct thorough testing and validation of migrated systems
Required Skills:
AWS Services
- Extensive experience with AWS services (SageMaker, QuickSight, Athena, Lambda, data pipelines).
- Experience using AWS services in Python and Command Line Interface
- Proficiency in serverless architecture design and Lambda function development.
Infrastructure as Code (IaaC)
- Experience in Infrastructure-as-Code (eg. CloudFormation, YAML, JSON infrastructure scripts)
- Lambda function provisioning and management through IaaC templates
- Integration of serverless components with traditional infrastructure resources
Programming and Automation Skills
- Proficiency in Python programming and UiPath automation
- Experience developing and deploying Lambda functions for data processing and automation
- Understanding of event-driven architecture and serverless computing patterns
Data Visualisation and Analytics
- Strong background in Tableau and QuickSight dashboard development
- Experience with ETL processes and data pipeline design
- Knowledge of serverless data processing workflows using Lambda
DevOps and Collaboration
- Experience working with DevOps stack (eg. Ship-hats, GitLab, Nexus Repo etc)
- Understanding of CI/CD pipelines for both application code and infrastructure deployment
- Experience with infrastructure change management including security groups and network ACLs
- Technical writing and documentation skills
- Training delivery and user support capabilities
Unison Consulting Singapore Office
1 Changi Business Park Crescent, , Plaza 8 #03-06 Tower A, Singapore, , Singapore, 486025
Unison Consulting Singapore Office
#12-00, 63 Market Street, Bank of Singapore Center, Singapore, , Singapore, 048942
What you need to know about the Singapore Tech Scene
The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.
