Lead Data Engineer (Sr. Palantir Engineer)
Tasks
- Apply data governance and access control
- Architect data solutions using Palantir Foundry
- Build and manage Pipeline Builder
- Collaborate with data scientists and stakeholders
- Configure Palantir Foundry data connections
- Develop ETL/ELT pipelines
- Develop Ontology objects
- Ingest and transform ontology driven data
- Maintain ontology driven application architecture
- Manage code repositories and version control
- Mentor junior engineers and analysts
- Monitor and report data ecosystem costs
- Optimize data pipeline performance
- Troubleshoot complex data issues
- Tune performance and ensure platform stability
Perks/Benefits
- Company-Paid Holidays
- Employee assistance program
- Life and disability insurance
- Medical/Dental/Vision insurance
- Paid time off
- Retirement savings plan
Skills/Tech-stack
Access Control | Data Cleansing | Data Governance | Data Modeling | Data Transformation | Data Validation | ELT | ETL | Ontology management | Palantir Foundry | Performance Tuning | PySpark | Python | Spark SQL | Version control
Education
N/A
Roles
Data Engineer | Data Engineering | Data Engineering Lead | Engineer | Engineering Lead | Lead | Lead Data | Lead Data Engineer
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