Data Engineer
Singapore, Singapore, Singapore
SGD 57K-70K (estimate) Entry-level Full Time
Tasks
- Automate model and data deployments
- Build dashboards and scorecards
- Build scalable data pipelines
- Create data quality tests
- Create reusable prompt libraries and evaluation harnesses
- Define observability and alerts
- Deliver self-service analytics
- Design dimensional and semantic models
- Evaluate gen ai models
- Implement CI CD for data and ai
- Implement Privacy by Design
- Implement prompt engineering and guardrails
- Maintain governance documentation and runbooks
- Operationalize retrieval augmented generation
- Tune sql and dax for performance
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Hive | Apache Spark | Azure DevOps | Azure Machine Learning | CI/CD | Chunking | DAX | Data Drift | Data Lineage | Data Quality | Data Quality Testing | Data drift monitoring | Deep learning | Dimensional Modeling | Drift monitoring | GitHub Actions | Great Expectations | LLM Evaluation | Langchain | MLOps | MLflow | Machine Learning | Observability | PII masking | Power BI | Prompt engineering | PySpark | Quality testing | RAG | Row Level Security | SOX | SQL | SSAS Tabular | Semantic Modeling | Tableau | Vector Databases
Roles
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