Senior Data Engineer ID81743
Tasks
- Architect data platform
- Build observability and alerting
- Build scalable data pipelines
- Collaborate using agile delivery practices
- Configure private cloud networking
- Design analytics data models
- Develop Python ingestion utilities
- Diagnose and resolve production issues
- Document data engineering standards
- Enforce data governance and security
- Implement CI/CD pipelines
- Provision infrastructure as code
Perks/Benefits
- Flexible hours
- Learning budget
- Mentorship
- Performance reviews
- Remote work
- Support programs
- Well-being programs
Skills/Tech-stack
Azure | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Data Lake Storage Gen2 | Azure Event | Azure Event Hubs | Azure Functions | Azure Private Endpoints | Azure Private Link | CI/CD | Column Masking | DBT | Data Factory | Data Lake Storage Gen2 | Datadog | Dimensional Modeling | Event Hubs | Git | GitHub Actions | Infrastructure as Code | Kimball methodology | Managed Identities | Network Security | Network Security Groups | Observability | Private DNS | Private Endpoints | Private Link | Python | REST APIs | Row Level Security | SQL | SQL Server | SQLMesh | Security groups | Slowly Changing Dimensions | Snowflake | Snowflake RBAC | Terraform | “as-code”
Education
N/A
Roles
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