Azure / AWS Cloud Engineer for Data Science
ZAR 840K-1100K (estimate) Senior-level Contract Full Time
Tasks
- Automate infrastructure provisioning and configuration
- Build and maintain CI/CD pipelines
- Build and maintain SQL stored procedures and views
- Build schedule and maintain SSIS ETL pipelines
- Ensure security, encryption, and audit compliance
- Estimate and sequence delivery work
- Execute change and release management
- Implement infrastructure as code with Terraform
- Integrate data layers for data quality lineage and reliability
- Maintain version control with Git
- Manage cloud platform availability performance security
- Manage identity and access RBAC managed identities and Key Vault
- Manage patching upgrades and maintenance
- Monitor infrastructure health
- Monitor logs and alerts with Azure Monitor and Log Analytics
- Operate DR backup and security controls
- Participate in safe agile ceremonies
- Perform disaster recovery testing and planning
- Provide production run the org support
- Provision cloud resources
- Support hybrid connectivity
- Troubleshoot and fix production issues
Perks/Benefits
- N/A
Skills/Tech-stack
Amazon EC2 | Amazon Web Services | Azure Data | Azure Data Factory | Azure DevOps | Azure Key Vault | Azure Monitor | Azure Networking | Azure Storage | Backup | CI/CD | Change Management | CloudWatch | DR testing | Data Factory | Databricks | Disaster Recovery | Git | Hybrid Cloud | Incident Management | Infrastructure as Code | Key Vault | Log Analytics | Microsoft Azure | Microsoft SQL | Microsoft SQL Server | Power BI | Python | RBAC | Release Management | Route 53 | SQL | SQL Server | SSIS | SSMS | SSO | T-SQL | Terraform | Virtual Machines | Web Services | “as-code”
Roles
Cloud Engineer | Cloud Platform Engineer | Cloud) | Data Engineer | DevOps | DevOps Engineer | Engineer | Platform Engineer
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