Principal Consultant, Palantir Data & AI Engineer
Tasks
- Build APIs and microservices
- Build data pipelines
- Create reusable Palantir assets
- Deploy operational workflows
- Design data and AI solutions
- Develop agentic AI workflows
- Develop data modeling
- Implement logging and documentation
- Implement testing and CI/CD
- Integrate with enterprise systems
- Lead project workstreams
- Manage version control
- Mentor team members
- Optimize performance
- Prototype GenAI and LLM solutions
- Run working sessions with stakeholders
- Translate business requirements
Perks/Benefits
- N/A
Skills/Tech-stack
API | AWS | Apache Airflow | Apache Spark | Azure | CI/CD | DBT | Data Modeling | Data Quality | Data integration | ELT | ETL | Experimentation | GenAI | Google Cloud | Human-in-the-loop | Kafka | LLM | LLMOps | Logging | MLOps | Microservices | Model Evaluation | Model Monitoring | Palantir AIP | Palantir Foundry | Power BI | Prompt management | Python | Retrieval-Augmented Generation | SQL | Streaming | Tableau | The Loop | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Consultant | Data Engineer | Engineer | Principal | Principal Consultant
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