Azure Devops Engineer

Experience:

• Design, build, and manage

  CI/CD pipelines

  using Azure DevOps (Repos, Boards, Pipelines).
• Implement and maintain

  Infrastructure-as-Code

  using ARM Templates, Terraform, or Bicep.
• Manage and monitor

  Azure Data Factory

  pipelines (ETL/ELT).
• Work with

  Microsoft Fabric

  (workspaces, pipelines, integrations).
• Handle

  Azure Analysis Services / Semantic Models

  deployment, scaling & optimization.
• Configure

  Azure AD/EntraID

  permissions, RBAC, and group-based access for Power BI & services.
• Automate processes using

  PowerShell & Python

  (approval flows, deployment scripts, pipelines).
• Implement Git workflows, branching strategies, pull requests & versioning best practices.
  
• Administer

  Azure Databricks

  (workspace, clusters, performance tuning, security, pipeline integration).
• Manage

  Azure Cost Management

  — budgets, alerts, tagging strategy & expense allocation.
• Collaborate with BI, Data Engineering & Cloud teams on deployments and production support.
  
• Prepare and maintain documentation in Confluence.
  

Required Technical Skills

• Azure DevOps (Repos, Boards, Pipelines, CI/CD)
  
• ARM Templates / Terraform / Bicep
  
• Azure Data Factory
  
• Microsoft Fabric (Pipelines, Workspaces, Data Integration)
  
• Azure Analysis Services / Semantic Models
  
• EntraID / Azure AD (RBAC, Groups, Permissions)
  
• PowerShell & Python automation
  
• Git (branching, PRs, merge strategies)
  
• Azure Databricks Administration
  
• Azure Cost Management (Budgets, Alerts, Tagging)
  

Good-to-Have Skills

• Docker / Kubernetes / AKS
  
• Azure Service Bus / Event Grid / Event Hubs
  
• Azure Functions / Logic Apps
  
• Azure Monitor, Log Analytics, Application Insights
  
• Azure Policy, Security & Compliance
  
• AWS/GCP DevOps familiarity (basic)
  
• Confluence for documentation
  

Soft Skills

• Excellent verbal & written communication
  
• Strong analytical and troubleshooting skills
  
• Ability to manage multiple tasks and deadlines
  
• Proactive, self-driven, and adaptable to new technologies
  
• Strong collaboration with BI/Data teams
  

Required Qualification

• Bachelor’s degree in engineering/computer science or relevant field
  
• 5–10 years of hands-on DevOps experience (preferably in Data & Analytics environments)
  

Interested candidates can share profiles at: