Data Engineer
Tasks
- Apply data governance and access controls
- Build data integrations
- Create API first data services
- Design ETL/ELT pipelines
- Develop data models and datasets
- Implement data transformations for BI and AI
- Implement event-driven integrations
- Monitor and troubleshoot data pipelines
- Orchestrate and schedule data workflows
- Perform data quality checks
- Prepare datasets for AI initiatives
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | Authentication | Azure Data | Azure Data Factory | Azure DevOps | Azure Functions | Azure Logic | Azure Logic Apps | Azure Service | Azure Service Bus | CI/CD | DBT | Data Factory | Data Governance | Data Lineage | Data Modeling | Data Pipelines | Data Quality | Data Warehouse | ELT | ETL | Event Grid | Fabric Data Pipelines | GitHub Enterprise | JSON | Kafka | Lakehouse | Logic Apps | Machine Learning | Microsoft Azure | Microsoft Fabric | Microsoft Fabric Data Pipelines | OAuth | PostgreSQL | Power BI | Python | RAG | REST | REST API | SOAP | SQL | Service Bus | Spark | Webhooks
Education
Bachelor of Engineering | Bachelor of Engineering in Data Engineering | Bachelor of Science | Bachelor of Science in Data Engineering
Roles
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