Description
DevOps Implementation:Develop and implement CI/CD pipelines for data services using Azure DevOps.Automate deployment processes for SQL Server, ADF, and Databricks environments.Manage and optimize infrastructure as code using tools like ARM templates, Terraform, or Bicep.Data Services Management:Oversee the setup, configuration, and maintenance of SQL Server databases in Azure.Implement and manage data workflows and pipelines in Azure Data Factory.Optimize Databricks clusters and notebooks for performance and cost-efficiency.Azure Infrastructure:Design and manage Azure resources including Virtual Networks, Storage Accounts, and App Services.Ensure the security, availability, and scalability of Azure-based applications and services.Monitor and troubleshoot issues across the Azure infrastructure using tools like Azure Monitor and Log Analytics.Collaboration and Best Practices:Work closely with data engineers, developers, and other stakeholders to integrate data solutions with application development.Promote and enforce best practices for DevOps and data management within the organization.Conduct regular reviews and audits of existing systems and workflows to identify areas for improvement.Security:Implement security best practices for Azure environments, including data encryption, access controls, and network security.
· Bachelor’s degree in Computer Science, Information Technology, or a related field.
· 3+ years of experience in a DevOps role, with a strong focus on Azure services.
· Proficiency in managing SQL Server databases and writing complex SQL queries.
· Strong scripting skills in PowerShell, Python, or a similar language.
· Familiarity with Azure DevOps, including Repos, Pipelines, and Artifacts.
· Knowledge of infrastructure as code (IaC) tools such as ARM templates, Terraform, or Bicep.
· Excellent problem-solving skills and attention to detail.
· Strong communication skills and the ability to work collaboratively in a team environment.
· Azure certifications such as Azure DevOps Engineer Expert, Azure Data Engineer Associate, or similar.
· Experience with containerization technologies like Docker and orchestration tools like Kubernetes.
· Understanding of Big Data technologies and data lake architectures.
· Experience with performance tuning and optimization of data services
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