Lead Data Engineer (Sr. Palantir Engineer)
Tasks
- Architect data pipelines
- Build and maintain ontology driven applications
- Collaborate with stakeholders on data requirements
- Configure Palantir Foundry data connections
- Develop ETL and ELT pipelines
- Evaluate generative AI capabilities
- Identify automation opportunities in data workflows
- Implement data cleansing, transformation, and validation
- Maintain end to end data ingestion and flow
- Manage ontology objects
- Monitor and report data pipeline costs
- Optimize data processing performance
- Provide mentorship and technical guidance
- Stay current with Foundry platform updates
- Troubleshoot data and platform issues
- Tune performance and ensure platform stability
Perks/Benefits
- Company-Paid Holidays
- Disability insurance
- Employee assistance program
- Life insurance
- Medical, dental, and vision coverage
- Paid time off
- Retirement savings plan
- Sick leave
Skills/Tech-stack
Access Control | Azure | Code repositories | Compliance | Contour | Cost Management | Data Governance | Data Modeling | Data Pipeline Cost Management | Data Quality | Data Security | Data Validation | Data connections | Data pipeline | ELT | ETL | Generative AI | Metadata Management | Ontology | Ontology management | Palantir Foundry | Performance Tuning | Pipeline Builder | PySpark | Python | Snowflake | Spark SQL
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer | Senior Data Engineer
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