Data Engineer, Clinical Operations
Tasks
- Build and deploy GenAI and NLP applications
- Design build and maintain scalable production data pipelines
- Develop ETL ELT pipelines and data models
- Develop and manage machine learning and GenAI models with Databricks tools
- Develop self service data discovery solutions
- Implement data governance and data lineage
- Maintain documentation for processes and data structures
- Operationalize cloud based GenAI and LLM applications using RAG
- Optimize data platform components for performance scalability and cost
- Provide technical guidance and mentorship
Perks/Benefits
Skills/Tech-stack
Apache Spark | Caching | Cloud Orchestration | Containerization | Data Governance | Data Lineage | Data Modeling | Databricks | Databricks Mosaic | Databricks Mosaic AI | Databricks Unity | Databricks Unity Catalog | Databricks Workflows | Delta Lake | ELT | ETL | Fine Tuning | LLM | MLflow | Mosaic AI | NLP | Partitioning | Prompt engineering | PySpark | Python | RAG | SQL | Semantic Modeling | Unity Catalog | Vector Databases
Education
N/A
Roles
Regions
Countries
States
Cities
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