Lead Data Engineer
Tasks
- Architect scalable data solutions
- Build ontology driven applications
- Configure and manage Palantir Foundry components
- Design, build and maintain ETL/ELT pipelines
- Develop and maintain ontology objects
- Develop data transformations and validations
- Establish cost efficiency practices
- Maintain data flow architecture and integration
- Manage code repositories and version control
- Mentor junior engineers and analysts
- Monitor and report data platform costs
- Optimize pipeline performance
- Translate stakeholder requirements into data solutions
- Troubleshoot complex data issues
Perks/Benefits
- Company-Paid Holidays
- Employee assistance program
- Life and disability insurance
- Medical, dental, and vision coverage
- Paid time off
- Retirement savings plan
Skills/Tech-stack
Access Control | Data Cleansing | Data Governance | Data Modeling | Data Pipelines | Data Security | Data Validation | ELT | ETL | Metadata Management | Ontology management | Palantir Foundry | Performance Tuning | PySpark | Python | Spark SQL | Version control
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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