Data Engineer
Singapore, Singapore, Singapore
SGD 65K-70K (estimate) Entry-level Full Time
Tasks
- Architect scalable data pipelines
- Automate model and data deployments
- Build batch streaming data pipelines
- Build data quality tests
- Build reusable prompt libraries and evaluation harnesses
- Create governed certified datasets
- Define observability for lineage drift freshness cost
- Deliver Power BI dashboards scorecards
- Design dimensional semantic models
- Develop retrieval augmented generation features
- Engineer prompt engineering and guardrails
- Implement CI CD for data and ai
- Implement privacy by design with PII masking
- Implement row level security
- Maintain audit trails and runbooks data dictionaries
- Optimize SQL and DAX performance
- Train fine tune and evaluate machine learning models
Perks/Benefits
Skills/Tech-stack
Apache Spark | Audit trails | Azure | Azure DevOps | Azure Machine Learning | CI/CD | Chunking | DAX | Data Drift | Data Lineage | Data Modeling | Data Warehousing | Data freshness | Deep learning | Dimensional Modeling | ER Data Modeling | ETL | Evaluation | GenAI | GitHub Actions | Great Expectations | Guardrails | Hadoop | Hive | LLMs | Langchain | MLOps | MLflow | Machine Learning | MapReduce | Observability | PII masking | Power BI | Prompt engineering | PySpark | Retrieval-Augmented Generation | Row Level Security | SOX | SQL | SSAS Tabular | Tableau | Tez | Vector Store | Vectorization
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Computer Science | Bachelor of Science in Data Science
Roles
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