Senior Data Engineer - Platforms
Tasks
- Automate orchestration and tooling with Python
- Build and maintain CI CD pipelines for Fabric artifacts
- Build and operate Microsoft Fabric environments
- Design scalable data platform capabilities
- Develop and deploy ETL ELT workflows
- Develop reusable platform components
- Enforce infrastructure as code principles
- Ensure data governance, security, and compliance
- Ensure data quality, consistency, and performance
- Implement reliable high performance data pipelines
- Maintain technical documentation and reusable frameworks
- Manage Fabric networking capacity and integration
- Mentor junior engineers
- Monitor troubleshoot and optimize data pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
ADLS | Agile | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure DevOps | Bronze Silver Gold | CI/CD | Data Factory | Data Governance | Data Lake Storage | Data Modeling | Data Warehousing | DevOps | Dimensional Modeling | ELT | ETL | Encryption | GDPR | GitHub Actions | Looker | Medallion Architecture | Metadata Driven | Metadata-driven architecture | Microsoft Fabric | Networking | NoSQL | OneLake | Orchestration | Power BI | PySpark | Python | RBAC | SQL | Tableau | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Data Engineer | Engineer | Platform | Platform Engineer | Senior Data Engineer
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