Mid Level Ai Data Engineer
Tasks
- Apply AI in development lifecycle
- Apply data governance and documentation
- Build analytical models
- Build and orchestrate AI agents
- Build bronze silver gold layers
- Create semantic data models
- Develop data transformations
- Ensure data quality and testing
- Establish corporate metrics
- Generate and review AI specifications
- Implement data observability
- Integrate AI workflows with repositories pipelines APIs and CI CD
- Orchestrate multi-agent workflows
- Support analytics datasets
Perks/Benefits
- Childcare assistance
- Continuous learning opportunities
- Discount club and partner benefits
- Extended parental leave
- Fitness and wellness partnerships
- Free wellness platform
- Health and dental insurance
- Language learning platform
- Life insurance
- Meal and food allowances
- Pregnancy support programs
- Professional development initiatives
- Profit-sharing program
Skills/Tech-stack
API Integration | Agent Orchestration | Azure Data | Azure Data Factory | Azure Databricks | CI/CD | Data Factory | Data Governance | Data Modeling | Data Observability | Data Quality | Data Warehousing | Git | GitHub | Lakehouse | Microsoft Fabric | Model Context Protocol | Power BI | Prompt engineering | Python | SQL | Testing | Workflow Orchestration
Education
N/A
Roles
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