Azure DevOps Engineer – Data
6 dagen geleden
As an Azure DevOps Engineer, you will:
- Collaborate within an Agile (Scrum) team to drive innovation and maintain essential Data & Analytics services.
- Manage and improve the Data & Analytics (DnA) platforms hosted in the Microsoft Azure Cloud, supporting the organization’s data-driven goals.
- Focus on maintaining and enabling central data services to support various data teams’ use cases.
- Develop and manage automated pipelines within Azure DevOps, contributing to an "Infrastructure as Code" environment.
- Handle Azure services like Azure SQL Database, Azure VMs, and Databricks for central data services, such as Master Data Management, data integration (ETL), data virtualization, and data cataloging.
- Maintain security protocols and optimize performance and costs of cloud-based services.
- A bachelor’s degree in IT or a proven track record in similar environments.
- Minimum of 3 years of experience as an Azure Engineer within an Agile (Scrum) environment.
- Certification in Azure Foundation AZ-900 and/or Azure Administrator Associate AZ-104.
- Familiarity with CI/CD pipelines, Microsoft Azure DevOps, and experience managing both Linux (RHEL) and Windows servers.
- Strong problem-solving skills and a proactive approach to experimentation and improvement.
- Efficiently manage, migrate, and patch Azure resources in a production environment.
- Utilize Azure Monitor/Analytics to build dashboards and improve infrastructure insights.
- Identify and implement cost optimizations in the Azure environment.
- Create infrastructure as code pipelines within Azure DevOps.
- Document new functionalities and contribute to the internal Wiki for knowledge sharing.
- Provide incident support to maintain seamless business operations.
- A dynamic team environment working on a broad stack of Azure cloud-based data products.
- Active involvement in pivotal Data & Analytics platforms that support significant industry advancements.
- Freedom to address and solve diverse challenges and continuously seek improvements.
- An Agile, collaborative setting where open communication and idea-sharing are encouraged.
Requirements
As an Azure DevOps Engineer, you will: Collaborate within an Agile (Scrum) team to drive innovation and maintain essential Data & Analytics services. Manage and improve the Data & Analytics (DnA) platforms hosted in the Microsoft Azure Cloud, supporting the organization’s data-driven goals. Focus on maintaining and enabling central data services to support various data teams’ use cases. Develop and manage automated pipelines within Azure DevOps, contributing to an "Infrastructure as Code" environment. Handle Azure services like Azure SQL Database, Azure VMs, and Databricks for central data services, such as Master Data Management, data integration (ETL), data virtualization, and data cataloging. Maintain security protocols and optimize performance and costs of cloud-based services. What You Bring to the Table: A bachelor’s degree in IT or a proven track record in similar environments. Minimum of 3 years of experience as an Azure Engineer within an Agile (Scrum) environment. Certification in Azure Foundation AZ-900 and/or Azure Administrator Associate AZ-104. Familiarity with CI/CD pipelines, Microsoft Azure DevOps, and experience managing both Linux (RHEL) and Windows servers. Strong problem-solving skills and a proactive approach to experimentation and improvement. You should possess the ability to: Efficiently manage, migrate, and patch Azure resources in a production environment. Utilize Azure Monitor/Analytics to build dashboards and improve infrastructure insights. Identify and implement cost optimizations in the Azure environment. Create infrastructure as code pipelines within Azure DevOps. Document new functionalities and contribute to the internal Wiki for knowledge sharing. Provide incident support to maintain seamless business operations. What we bring to the table: A dynamic team environment working on a broad stack of Azure cloud-based data products. Active involvement in pivotal Data & Analytics platforms that support significant industry advancements. Freedom to address and solve diverse challenges and continuously seek improvements. An Agile, collaborative setting where open communication and idea-sharing are encouraged.
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