Data Engineer
Tasks
- Build data integrations
- Build data orchestration and scheduling
- Create curated datasets lakehouse warehouse
- Create data governance and lineage documentation
- Design ETL/ELT pipelines
- Develop API first data services
- Implement data models and transformations
- Implement event driven integration workflows
- Monitor pipelines and handle incidents
- Perform data quality checks and validation
- Support secure data access and compliance
Perks/Benefits
- 401k match
- Dental insurance
- Employee assistance program
- Employee referral bonus
- Flexible savings account
- Health insurance
- Health savings account
- Holidays
- Learning and development
- Life insurance
- Long-term disability insurance
- Paid time off
- Sick leave
- Vision insurance
Skills/Tech-stack
API Integration | Apache Spark | Authentication | Azure | Azure Data | Azure Data Factory | Azure DevOps | Azure Functions | Azure Logic | Azure Logic Apps | Azure Service | Azure Service Bus | BI semantic models | CI/CD | DBT | Data Factory | Data Governance | Data Lineage | Data Modeling | Data Pipelines | Data Quality | ELT | ETL | Event Grid | Fabric Data Pipelines | GitHub Enterprise | JSON | Kafka | Logic Apps | Microsoft Fabric | Microsoft Fabric Data Pipelines | PostgreSQL | Power BI | Power BI Semantic Models | Python | REST | SDLC | SOAP | SQL | Semantic models | Service Bus | Webhooks
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
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