Distributed Cloud | AI Data Engineer
Tasks
- Apply causal inference and advanced analytical techniques
- Build and optimize semantic data models
- Collaborate with cross functional teams to deliver reliable data products
- Deliver scalable solutions with data analytics and AI teams
- Design and maintain scalable data solutions for AI and analytics
- Develop integrations between data platforms semantic layers and AI solutions
- Improve data quality governance and semantic consistency
- Integrate LLMs using prompt engineering and Retrieval Augmented Generation
- Promote modern data engineering AI and analytics best practices
- Provide technical leadership through mentoring and code reviews
Perks/Benefits
- N/A
Skills/Tech-stack
Access Management | BigQuery | Causal Inference | Causal ML | Cloud Run | Cloud platform | Data Governance | Databricks | Delta Lake | Difference-in-differences | FastAPI | Google Cloud | Google Cloud Platform | Identity and Access Management | Identity and access | Instrumental Variables | LLM integration | Langchain | MLflow | Prompt engineering | PubSub | Python | RAG | Regression Discontinuity Design | Regression discontinuity | SQL | Security Architecture | Semantic layer | Unity Catalog | Vertex AI
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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