Lead Data Engineer (Sr. Palantir Engineer)
Tasks
- Architect data solutions using Palantir Foundry
- Build scalable data frameworks for analytics
- Configure and manage data connections
- Develop and maintain ontology objects
- Develop and optimize ETL/ELT pipelines
- Identify automation and optimization opportunities
- Ingest transform and model data into ontology driven applications
- Maintain architecture and data flow from ingestion to ontology
- Manage code repositories and version control
- Mentor junior engineers and analysts
- Monitor and report data platform costs
- Perform data cleansing transformation validation
- Stay current with Foundry updates and best practices
- Translate requirements into scalable data solutions
- Troubleshoot and perform performance tuning
Perks/Benefits
- Company-Paid Holidays
- Employee assistance programs
- Life and disability insurance
- Medical, dental & vision coverage
- Paid time off
- Retirement savings plan
Skills/Tech-stack
Access Control | Cloud Platforms | Cost monitoring | Data Cleansing | Data Governance | Data Modeling | Data Transformation | Data Validation | ELT | ETL | Ontology management | Palantir Foundry | Performance Tuning | PySpark | Python | Snowflake | Spark SQL | Version control
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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