Senior Data Engineer
Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
USD 160K-200K (estimate) Senior-level Full Time
Tasks
- Architect AI app stack with RAG and LLM integrations
- Build AI agents using warehouse data
- Build real time and batch ingestion pipelines
- Build semantic layer for analytics
- Develop conversational analytics applications
- Develop data transformations and orchestration DAGs
- Document architectures and runbooks
- Enforce least privilege access
- Investigate data discrepancies
- Maintain BI platform and dashboards
- Maintain cloud analytics infrastructure as code
- Mentor interns and new hires
- Operate data pipelines and warehouse
- Optimize warehouse cost and performance
- Own data platform
- Support stakeholder reporting
Perks/Benefits
- N/A
Skills/Tech-stack
Access Control | BI platform | Backup and Restore | Batch Processing | CDC | Cloud infrastructure | Cloud infrastructure as code | Clustering | Conversational Analytics | Credential Management | DBT | Data Engineering | Data Pipelines | Data Warehouse | Dataform | Evaluation Harness | Hash Based Loading | Incremental loading | Infrastructure as Code | Kubernetes | LLM | Least Privilege | Partitioning | Python | Query Tuning | RAG | Real Time | Real-time Data | SQL | SQL Generation | SSO Integration | Semantic layer | Serverless computing | Tool use | Workflow Orchestration | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
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