AI Data Engineer Mid/Senior
Tasks
- Build and orchestrate AI agents
- Build layered data architecture
- Create curated datasets
- Create semantic models
- Define standardized corporate metrics
- Design specifications for AI driven development
- Develop data transformations
- Ensure data quality testing
- Implement analytical models
- Implement observability practices
- Leverage AI for coding testing debugging refactoring
- Orchestrate data pipelines
- Perform data validation
- Support AI augmented SDLC workflows
Perks/Benefits
- Childcare assistance
- Continuous learning access
- Dental insurance
- Discounts and partnerships
- Extended parental leave
- Gympass
- Health insurance
- Language learning platform
- Life insurance
- Meal allowance
- Online wellbeing platform
- Profit sharing
- Totalpass
Skills/Tech-stack
API Integration | APIs | Azure Data | Azure Data Factory | CI/CD | Continuous integration | Data Factory | Data Governance | Data Modeling | Data Quality | Databricks | Git | Lakehouse | Microsoft Fabric | Model Context Protocol | Observability | Power BI | Python | SQL | Semantic Modeling | Unit Testing
Education
N/A
Roles
AI | AI Engineer | Data Engineer | Engineer
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