AI Data Engineer (entry level) - SPVL
Summary
Entry-level AI Data Engineer at ScienTec Consulting working on government cybersecurity (SOC) projects in Punggol, Singapore (hybrid). Day to day: building automation and orchestration pipelines, CI/CD, multi-cloud infrastructure (AWS, Azure, GCP), and data/integration frameworks using Python, SQL, Terraform, and AI/ML tools.
We are looking for AI Data Engineer to work on government projects within Cybersecurity domain:
- Exciting opportunity to work with a team of professionals to gain experience
- Competitive salary package & employment benefits (up to 24 days leave + medical insurance)
- Work location: Punggol (hybrid work arrangement)
- Entry level candidate with AI + AWS + data engineering related internship are welcome to apply
- Design, develop, and maintain automated workflows and orchestration pipelines for SOC operations.
- Implement CI/CD pipelines for automation and AI services deployment.
- Develop custom automation solutions using Python scripts, shell scripts, and other programming languages as required.
- Deliver and maintain automation and supporting infrastructure across internet, intranet, and local environments, as required for operational needs.
- Provide supporting engineering on automation across operations, including AI call centre and workflow systems.
- Provide supporting engineering for automated workflows, orchestration pipelines, and integration frameworks for operational requirements.
- Provide supporting engineering for multi-cloud infrastructure across AWS, Azure, and GCP, including cloud-native services such as compute (EC2), storage (S3), network security (firewalls, WAF, proxy), data warehouses (BigQuery), AI/ML platforms (Vertex AI, AWS SageMaker, Azure ML), and analytics tools (Looker).
- Implement infrastructure-as-code (IaC) and cloud resource management using Terraform, CloudFormation, or equivalent tools.
- Provide supporting engineering for on-premises infrastructure setup, including bare metal server provisioning and configuration.
- Design and deploy specialised purpose platforms tailored to specific operational requirements.
- Ensure reliability, scalability, and security of multi-cloud infrastructure.
- Provide supporting engineering on incident response playbook work in SOAR and related tooling under direction and priorities from SOC operations.
- Build integration frameworks connecting SIEM, SOAR, and threat intelligence platforms across cloud environments.
- Develop and implement data integration solutions to supplement current platforms with external data sources.
- Collaborate with AI Software Engineers to integrate AI capabilities into automated workflows.
- Experience in data engineering, AI technologies, AWS and automation experience
- Experience in Python and SQL on cloud analytics warehouses
- Background/knowledge in Cybersecurity will be an added advantage
- Entry level position, training will be provided
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Liew Chien Hui - R2090138
ScienTec Consulting Pte Ltd - 11C5781