Azure DevOps Engineer (8-10 yrs)

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 :

- 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 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)

Preferred Qualifications :

- Azure DevOps certifications (e.g, Microsoft Certified: DevOps Engineer Expert)