Infrastructure Automation Specialist

1 dia atrás

São Paulo, São Paulo, Brasil beBeeAutomation Tempo inteiro R$75.000 - R$95.000
Job Opportunity: Infrastructure Automation SpecialistWe are seeking a highly skilled professional with expertise in automating infrastructure, applications, and workflows. The ideal candidate will have experience across configuration management, API development, Microsoft automation tools, and data governance frameworks, with additional exposure to data engineering and scripting.Key Responsibilities:
  • Automate infrastructure provisioning and application deployment using Ansible for DevOps.
  • Design, develop, and maintain APIs to enable seamless system integrations and improve data exchange.
  • Build workflow automations using Microsoft Power Automate and other M365 tools for process optimization.
  • Support data governance initiatives by leveraging Microsoft Purview for compliance, auditing, and data management best practices.
  • Contribute to data engineering tasks, utilizing Databricks and Python scripting to build efficient automation pipelines and enhance system scalability.
  • Collaborate with cross-functional teams to streamline operations, improve compliance, and enhance system reliability through effective automation.
  • Ensure best practices in automation, documentation, and security are consistently applied throughout the organization.
Required Skills and Qualifications:
  • Proven hands-on experience as an Automation Engineer or in a similar automation-focused role with a strong focus on efficiency and scalability.
  • Strong knowledge of Ansible for configuration management and deployment automation, with a focus on automation best practices.
  • Experience with API design and integration, including data modeling and data governance.
  • Proficiency in Microsoft Power Automate and M365 ecosystem for workflow automation and process optimization.
  • Familiarity with Microsoft Purview for compliance and governance, including data management and security best practices.
  • Working knowledge of Databricks and Python scripting for data engineering and automation pipeline development.
  • Strong analytical and problem-solving skills, with a focus on efficiency, scalability, and innovation.
Additional Requirements:
  • Experience with CI/CD pipelines and DevOps practices for continuous delivery and deployment.
  • Exposure to cloud platforms (Azure, AWS, or GCP) for scalable infrastructure and automation solutions.
  • Knowledge of broader data engineering concepts and ETL processes for efficient data integration and processing.

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