Senior Azure Data Platform Engineer
Tasks
- Administer Azure SQL Managed Instance and Azure SQL databases
- Analyze execution logs and metrics
- Automate operational workflows for validation monitoring and remediation
- Contribute to CI CD practices for data platform deployments
- Coordinate with stakeholders and vendors to resolve issues and risks
- Design build and maintain ADF pipelines for batch and incremental loading
- Develop automation with Python or PowerShell
- Diagnose locking blocking and concurrency issues
- Implement backup, recovery, and high availability
- Implement durable repeatable fixes for pipeline failures
- Manage database schema changes with Azure DevOps
- Manage database security user access and role permissions
- Monitor schedule and handle ADF pipeline failures
- Own end to end data loading process from ingestion to validation
- Set up monitoring alerting and operational discipline
- Stabilize and standardize existing data pipelines
- Troubleshoot pipeline integration issues and performance bottlenecks
- Tune database performance
- Version and promote ADF pipelines
Perks/Benefits
Skills/Tech-stack
Access Control | Azure Data | Azure Data Factory | Azure DevOps | Azure SQL | Azure SQL Database | Azure SQL Managed Instance | Backup and Recovery | CI/CD | Concurrency Control | Data Factory | Data Pipeline Engineering | Data pipeline | Database performance | Database performance tuning | Database security | Execution Plans | High Availability | Indexing | Locking and Blocking | Managed Instance | Monitoring and Alerting | Performance Tuning | Pipeline engineering | Powershell | Python | Query Execution | Query Optimization | Query execution plans | Role-Based Access | Role-Based Access Control | SQL | SQL Database | SQL Managed Instance | SQL Query Optimization | SQL query
Education
N/A
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