DevOps Engineer
4 weeks ago
Job Description: Senior Azure DevOps Consultant
Experience Level: 8+ years
Location: Open, except for candidates from Hyderabad/AP
Key Responsibilities
- Design, implement, and maintain Azure DevOps infrastructure and solution pipelines for data lake and analytics projects.
- Develop and maintain YAML and classic pipelines to support continuous integration and deployment (CI/CD) processes.
- Build frameworks and automation tools to enhance development efficiency and reduce manual intervention using ARM templates and Terraform .
- Manage and optimize nightly builds and release processes.
- Implement and maintain automated deployment strategies across various environments.
- Continuously improve and refine DevOps practices and tooling to align with the team's agile methodology.
- Collaborate closely with data engineers , data scientists , and other stakeholders to ensure smooth integration of DevOps practices.
- Troubleshoot and resolve pipeline and infrastructure-related issues promptly.
- Stay updated with the latest Azure DevOps features and best practices, implementing them as appropriate.
Required Qualifications
- Bachelor's degree in Computer Science , Information Technology , or a related field.
- 8+ years of experience in DevOps engineering , with a strong focus on Azure DevOps .
- Extensive experience with Azure DevOps , including both YAML and classic pipelines.
- Proficiency in scripting languages like PowerShell , Bash , and Python .
- Strong understanding of CI/CD principles and practices.
- Hands-on experience with infrastructure-as-code tools (e.g., ARM templates , Terraform , BICEP ).
- Solid understanding of version control systems , preferably Git .
- Experience working in Agile environments .
- Strong problem-solving and analytical skills.
- Excellent communication skills and the ability to work effectively in a fast-paced team environment.
- Expertise in creating one-click deployment pipelines .
- Experience with data lake and analytics technologies in Azure (e.g., Azure Data Lake Storage , Azure Data Factory , Azure Databricks ).
- Familiarity with security best practices in cloud environments.
Preferred Qualifications
- Azure DevOps certifications (e.g., Microsoft Certified: DevOps Engineer Expert).
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