VAYUZ Technologies
2 months ago
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 continuous 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 support 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 current 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
- 3+ 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 such as PowerShell, Bash, and Python
- Strong understanding of CI/CD principles and practices
- 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
- Excellent problem-solving and analytical skills
- Strong communication skills and ability to work effectively in a fast-paced team environment
- Experience 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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