About the Role:
We are looking for an experienced Database Engineer to design and optimise platform databases and AI-ready data services on a large-scale digital transformation program. You will work across SAP, AWS, integration, security, and business teams to deliver reliable, well-documented, production-ready data solutions.
Key Responsibilities:
- Design, build, and optimise databases on Aurora PostgreSQL, DynamoDB, MongoDB, and Redis
- Develop data models aligned to the target architecture
- Deliver assigned architecture components and AI-ready data services
- Tune performance, manage scalability, and ensure data availability and security
- Collaborate with SAP, AWS, integration, security, and business teams
- Support SIT, UAT, production releases, and hypercare
- Produce high-quality documentation, test evidence, and deployment artefacts
- Resolve defects and complete operational handover with support materials
Mandatory Skills:
- 5-8+ years of experience in a similar enterprise role
- Hands-on experience with Aurora PostgreSQL and NoSQL databases (MongoDB, DynamoDB, Redis)
- Strong data modelling skills (relational and non-relational)
- Experience in large-scale digital transformation programs
AI-Native Requirements:
- Understanding of RAG (Retrieval-Augmented Generation) concepts
- Awareness of vector databases (e.g., pgvector, Pinecone, OpenSearch)
Good to Have:
- Experience with AWS data services and database migration tools
- Exposure to SAP or integration landscapes
- Knowledge of backup, DR, and data security best practices
- AWS database certifications
Key Deliverables:
- Technical documentation and solution designs
- Tested deliverables and defect resolution
- Operational handover and support materials
Soft Skills:
- Strong communication and cross-team collaboration
- Ability to work independently and take ownership
- Structured, documentation-focused approach
Work Authorization: Only candidates who are legally authorized to work in Malaysia will be shortlisted for further process.