Azure Devops Engineer-Terraform, Python, PySpark

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Written by AI from the job title and company, not by Zortech Solutions, so some details may not match this job. The employer's own page has the real description.

Job Overview

Zortech Solutions is seeking a talented and proficient Azure DevOps Engineer with expertise in Terraform, Python, and PySpark to join our dynamic team. The ideal candidate will be responsible for designing, implementing, and maintaining CI/CD pipelines while ensuring seamless integration between development and operations. This role demands an individual with a strong technical background who can leverage automation tools and scripting languages to optimize deployments and enhance productivity.

Job Responsibilities

• Design, implement, and manage CI/CD pipelines utilizing Azure DevOps principles.
• Develop and maintain infrastructure as code using Terraform for Azure environments.
• Write and maintain scripts in Python to automate processes and improve efficiency.
• Utilize PySpark for big data processing and integration tasks.
• Collaborate with cross-functional teams to identify project requirements and optimize workflows.
• Monitor performance and troubleshoot issues within the DevOps toolchain.
• Ensure compliance with security and governance policies within cloud environments.
• Continuously evaluate and implement new tools and technologies to enhance the DevOps lifecycle.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Minimum of 3 years of experience in a DevOps role, with a focus on Azure services.
• Proficiency in Terraform for infrastructure automation.
• Experience with scripting in Python and using PySpark for data processing.
• Strong understanding of CI/CD tools and practices.
• Knowledge of cloud concepts and services within Microsoft Azure.
• Experience with version control systems, such as Git.
• Excellent problem-solving and analytical skills.

Technologies & Tools

The Azure DevOps Engineer will work extensively with Azure DevOps Services, Terraform, Python, and PySpark. Familiarity with Git, Azure Services, Kubernetes, Jenkins, and monitoring tools such as Azure Monitor or Grafana is also preferred. The role requires a solid understanding of cloud architecture and proven experience in deploying scalable applications in Azure.

Ideal Candidates

Ideal candidates for this position will possess a strong desire for continuous learning and improvement. They should demonstrate effective communication and collaboration skills, enabling them to work well within a team-oriented environment. A proactive approach to problem-solving, adaptability to changing technologies, and a keen attention to detail are essential qualities that will contribute to their success in this role.