Azure DevOps Engineer

Design, develop, maintain, and troubleshoot Jenkins CI/CD pipelines supporting Azure-based data engineering solutions.

Automate build, test, deployment, configuration, and release processes across development, test, QA, and production environments.

Support deployment/release processes for Azure data workloads, including Azure Data Factory, Azure Databricks, Azure Storage/Data Lake, and related services.

Partner with Data Engineers to incorporate data pipelines, notebooks, scripts, configuration, and infrastructure changes into repeatable deployment processes.

Manage Git branching, merging, pull requests, artifacts, and release processes.

Build pipeline-as-code and reusable automation to reduce manual deployment activities.

Troubleshoot failed builds, deployments, permissions, dependencies, credentials, and environment/configuration issues.

Support Azure identity, secrets, service connections, and secure access required by automated pipelines.

Implement deployment controls, approvals, logging, and traceability throughout the CI/CD lifecycle.

Support production deployments, operational troubleshooting, incident resolution, and root-cause analysis.

Maintain pipeline documentation, operational procedures, and support runbooks.

Participate actively in Agile/Scrum ceremonies, including sprint planning, stand-ups, backlog refinement, estimation, demos, retrospectives, and continuous improvement.

Strong hands-on Jenkins experience

CI/CD pipeline design, development, administration, and troubleshooting

Microsoft Azure experience

DevOps automation supporting data engineering workloads

Git and enterprise source-control practices

PowerShell, Bash, and/or Python scripting

Azure Data Factory and/or Azure Databricks deployment experience

Automated build, test, deployment, and release-management experience

Agile/Scrum delivery experience

Strong troubleshooting and root-cause-analysis skills

Preferred Skills:

Azure Databricks

Azure Data Factory (ADF)

Microsoft Fabric

Azure Data Lake / Storage

Azure DevOps

Terraform / Infrastructure as Code

Docker and Kubernetes

YAML / JSON

SQL and ETL/ELT understanding

Monitoring/logging for CI/CD and Azure workloads

Jira or Azure Boards experience