Data Engineer
Tasks
- Build ETL ELT data pipelines using Azure services
- Build Python scripts and services for workflow automation
- Develop and maintain reporting datasets and data models
- Implement data validation and testing
- Ingest transform and standardize operational data
- Integrate external APIs and internal systems into data workflows
- Monitor and troubleshoot data pipeline quality and reliability
- Optimize SQL datasets for performance and reliability
- Write and optimize complex SQL queries
Perks/Benefits
- Employee Vehicle Purchase Program
- Employee assistance program
- Employer-paid life insurance
- Gym discounts
- HSA employer match
- Medical/Dental/Vision insurance
- Paid Holidays
- Paid time off
- Pet insurance
- Pharmacy Discount Programs
- Retirement savings plan
- Teladoc
- Volunteer PTO Program
Skills/Tech-stack
Airflow | Alerting | Azure Blob | Azure Blob Storage | Azure Container | Azure Container Apps | Azure Data | Azure Data Factory | Azure DevOps | Azure Functions | Azure SQL | Azure SQL Database | Blob Storage | CI/CD | Container Apps | Data Factory | Data Modeling | Data Quality | Data Validation | ELT | ETL | Git | Integration Testing | Logging | Metrics | Observability | Power BI | Python | REST APIs | SQL | SQL Database | SQL Server | Unit Testing
Education
N/A
Roles
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