DevOps Engineer with Data Factory | Remote

Posted 2 months ago
Role – DevOps Engineer with Data Factory
Client – Cognizant / Confidential
Location – Remote
JD : Write software, from build system automation to automated deployment, to scale our engineering delivery

Bring in continuous deployment practices to enhance our Agile posture
Imagine, architect, develop, deploy, and evolve CI and CD systems for our cloud applications
Design and implement continuous delivery pipelines that serve the purpose of provisioning and operating client test as well as production environments
Provide systems support including responding to monitoring alerts
Implement and stay abreast of Cloud and DevOps industry best practices and tooling
Work with developers to identify necessary Azure resources and automate their provisioning
Document automation processes
CI/CD infrastructure and process troubleshooting (disk space, network issues etc).
CI/CD pipeline support (troubleshooting, support with setting up in new projects)
Work closely with key stakeholders to capture, analyze, and derive DevOps requirements

Skills and Experience Required:

More than 4 years hand-on experience with Azure Cloud
Hands-on experience in continuous delivery and continuous integration of CI/CD pipelines
Experience with Azure Repos, branching, code review and code analysis tools
Proficient with Git, Git Flow, Azure DevOps
Ability to assess the requirement, environment and suggest right tools / technologies
Expertise in Debugging and providing solutions and workarounds
Hands-on experience with REST APIs
Experience on Azure Functions
Experience with Python
Experience in SQL Server
Excellent communication, presentation, and coding abilities

Preferred Experience:

Experience with Alteryx
Experience in Azure Data Factory
Knowledge on Unix scripting

Certifications Preferred:

Azure DevOps (AZ – 400),
Azure Data Engineering (AZ-200 and AZ-201) and
Azure Cloud Developer (AZ-203)