Platform Data Engineer - Azure
Tasks
- Build ETL/ELT workflows
- Build and maintain APIs
- Design data pipelines
- Develop analytics tools
- Ensure data quality at scale
- Implement event-driven architectures
- Implement unit testing
- Maintain scalable data pipelines
- Manage data ingestion
- Monitor and troubleshoot systems
- Optimize cloud costs
- Optimize performance
- Orchestrate data processing
- Review code and mentor team members
- Set up CI/CD pipelines
- Transform and curate data
Perks/Benefits
- Flexible working hours
- Health insurance
- Internal mobility program
- Life insurance
- Pension fund
- Pet-friendly environment
- Remote-friendly setup
- Wellbeing program
Skills/Tech-stack
AI Search | APIs | App Service | Azure AI | Azure AI Search | Azure App | Azure App Service | Azure Data | Azure Data Factory | Azure Document Intelligence | Azure Functions | Azure OpenAI | Azure RBAC | Azure Storage | Bicep | CI/CD | Cloud Cost Optimization | Cost Optimization | Data Factory | Data Privacy | Data Security | Databricks | Document Intelligence | Event Driven | Event-driven architecture | GitHub Actions | Identity | Infrastructure as Code | Logging | Monitoring | Networking | Performance Tuning | Python | Troubleshooting | Unit Testing | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Computer Science | Bachelor of Science in Software Engineering
Roles
Data Engineer | Engineer | Platform | Platform Data Engineer
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