DevOps Engineer
1 semana atrás
Hiring Immediately - Azure DevOps / Data Platform Engineer in (LATAM/Brazil, US EST Shift)
Technical Skills
- Azure DevOps pipelines, Git repos, artifact management
- Terraform, IaC governance patterns
- Azure Data Lake Storage Gen2, hierarchical namespace, ACL models
- Azure Data Factory, Databricks, Synapse, Spark
- Azure Functions, Key Vault, networking (VNets, private endpoints, firewalls)
- Monitoring stacks: Log Analytics, Application Insights, Azure Monitor
- Scripting: PowerShell, Python, Bash
- Security controls: RBAC, managed identities, secrets management, encryption
- CI/CD patterns, release strategy design, automated testing frameworks
- Jira, Confluence, ServiceNow
Support: US EST (Mon-Fri 9:00am-5:00pm)(Best Fit)
Roles and Responsibilities
- Architect and maintain CI/CD pipelines for Data Lake components: Data Factory, Databricks, Functions, Synapse, Spark workloads, storage configurations.
- Implement Infrastructure-as-Code with Terraform for provisioning storage accounts, networking, compute, identity, and security layers.
- Enforce branching discipline, artifact integrity, automated testing, and controlled release gates.
- Automate environment provisioning, ACL management, key rotation, lifecycle policies, and cluster configuration.
- Integrate DevOps processes with enterprise security: RBAC, managed identities, Key Vault, private networking, encryption controls.
- Build observability: logging, metrics, alerting, dashboards for pipelines and platform components.
- Maintain backup, restoration, disaster-recovery patterns and test them for reliability.
- Eliminate configuration drift through standardized templates and environment baselines.
- Maintain and optimize agents, service connections, and deployment runtimes.
- Perform incident response and root-cause analysis, document systemic fixes.
- Deliver reusable automation modules for data engineering teams.
- Optimize workload performance and cost within the Data Lake environment.
- Ensure compliance with governance, audit requirements, and data protection mandates.
- Drive continuous reduction of manual operational work through automation.
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