Senior GenAI Data Engineer (Databricks)
Tasks
- Build RAG pipelines using vector search
- Build data pipelines
- Create natural language interfaces for data querying
- Develop AI agents in Databricks
- Develop scalable data models
- Ensure data quality and reliability
- Ensure data quality traceability and maintainability
- Implement anomaly detection and data enrichment
- Integrate LLM APIs into data workflows
- Optimize performance and scalability
- Scale reporting infrastructure
- Set up CI CD automation for pipelines
Perks/Benefits
- Bereavement leave
- Civil marriage leave
- English classes
- Flexible schedules
- Health check-up subsidy
- Laptop policy
- Life insurance
- Major medical insurance
- Official Mexican holidays
- Work-from-home bonus
Skills/Tech-stack
API Integration | Anthropic | CI/CD | Databricks | Databricks Lakehouse | Function Calling | GitHub Actions | Guardrails | Jenkins | LLM API | LLM API integration | Langchain | Llamaindex | Model Context Protocol | OpenAI | Prompt engineering | Retrieval-Augmented Generation | SQL | Tool-Calling | Unity Catalog | Vector Search | YAML
Education
N/A
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