About the role

  • DevOps and CI/CD expertise: Proven ability to implement and manage CI/CD pipelines using Azure DevOps, GitLab Pipelines, or similar tools, including Infrastructure-as-Code practices to automate deployment and ensure secure, consistent releases of data platform components
  • Cloud platform proficiency: Deep knowledge of Microsoft Azure cloud infrastructure, including cloud migration experience
  • Strong experience with Microsoft Fabric and Azure Data Services: Hands-on expertise in Microsoft Fabric components (Lakehouse, OneLake, Data Pipelines, Real-Time Analytics, Power BI Integration) and Azure services like Azure Data Factory, Synapse Analytics, and Data Lake Storage is essential
  • Monitoring and observability: Experience with monitoring platform health, performance tuning, and using observability tools to ensure reliability and cost optimization of data platforms

Requirements

  • Proven ability to implement and manage CI/CD pipelines using Azure DevOps, GitLab Pipelines, or similar tools
  • Deep knowledge of Microsoft Azure cloud infrastructure, including cloud migration experience
  • Hands-on expertise in Microsoft Fabric components (Lakehouse, OneLake, Data Pipelines, Real-Time Analytics, Power BI Integration) and Azure services like Azure Data Factory, Synapse Analytics, and Data Lake Storage is essential
  • Experience with monitoring platform health, performance tuning, and using observability tools to ensure reliability and cost optimization of data platforms

Job title

DevOps Engineer

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

No Education Requirement

Tech skills

Location requirements

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