Senior Research Data Engineer (Canada)
Tasks
- Automate quality filtering and synthesis
- Build and own gold data layer
- Build reusable Databricks Spark transformation pipelines
- Capture data provenance and clinical event sequencing
- Curate multimodal datasets with metadata and labels
- Design gold data products for researcher AI needs
- Detect near duplicates
- Ensure point in time correctness
- Generate synthetic data using LLM APIs
- Implement weak supervision and programmatic labeling
- Maintain reproducible dataset snapshots and lineage
- Reverse engineer data semantics
- Support regulated data handling with controlled access
- Transform silver tables into curated gold datasets
- Validate and document datasets
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Airflow | Azure | Dagster | Data Drift | Data Versioning | Databricks | Databricks Workflows | Deidentification | Delta Lake | Embeddings | Feature Engineering | Generative AI | Git | HIPAA | Hugging Face | Hugging Face Datasets | LLM | LSH | MLflow | MinHash | Parquet | Prefect | PySpark | Python | RAG | SQL | Spark | Tokenization | Train Validation Test | Train validation test split | Unity Catalog | Weak Supervision
Education
N/A
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