Senior Data Engineer
Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
USD 165K-200K (estimate) Senior-level Full Time
Tasks
- Architect AI app stacks with LLM integrations
- Build AI agents using retrieval augmented generation
- Build and maintain data pipelines and transformations
- Build conversational analytics applications
- Design and maintain cloud infrastructure
- Develop BI dashboards and workflows
- Develop orchestration workflows and monitoring
- Ingest real-time and batch data
- Mentor team members and document runbooks
- Optimize warehouse cost and performance
- Own and evolve data platform
- Support stakeholder reporting and validate data sources
Perks/Benefits
- N/A
Skills/Tech-stack
Access Controls | BI platform | Backups | Batch Processing | CDC | Cloud Computing | Clustering | Conversational Analytics | Credential rotation | DBT | Data Engineering | Data Modeling | Data Warehousing | Dataform | ETL | Evaluation Harness | Infrastructure as Code | Ingestion pipelines | Kubernetes | LLM | Least Privilege | Partitioning | Python | Query Tuning | RAG | Real Time | Real-time Data | SQL | SQL Generation | SSO | Tool use | Workflow Orchestration | “as-code”
Education
Roles
Regions
Countries
States
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