Senior Cloud Engineer

1 week geleden

Arnhem, Nederland Fitura Voltijd

Senior Cloud Engineer (Azure)

At the moment I am looking Senior Cloud Engineer (Azure) for a client in Arnhem for a long-term contract paying excellent rates.

The Senior Cloud Engineer (Azure) must have the following skills:

  • 5+ years of experience in an (Cloud)Engineering role, focusing on the implementation, optimization, and maintenance of large-scale analytics platforms, with a strong emphasis on Azure services.
  • Hands-on expertise with Azure services, particularly Azure Data Lake Storage, Azure Data Factory (including metadriven pipelines), Azure Databricks (including workflows and pipelines with Databricks Asset Bundles), Azure Functions, and Log Analytics. This is a hard requirement.
  • Proficiency in CI/CD methodologies and tools, ideally with Azure DevOps or GitHub, to automate deployment, integration, and testing of data engineering workflows.
  • Infrastructure as Code (IaC) experience, preferably with Terraform, to deploy and manage scalable cloud infrastructure; familiarity with containerization using Docker or Kubernetes is a plus.
  • Strong scripting and development skills with Python and SQL, alongside an understanding of API development and integration for data communication.
  • Experience in alerting and incident management, with a focus on Azure's built-in tools and external platforms like Splunk On-Call or PagerDuty for reliable monitoring and response.
  • Solid knowledge of big data technologies and frameworks like Hadoop, Spark, and Kafka, with a proactive approach to troubleshooting, optimizing data engineering processes, and collaborating effectively within a team.

Senior Cloud Engineer (Azure) will be responsible for:

  • Design, Develop, and Implement Azure-Based Data Solutions: Architect and build data workflows and services leveraging core Azure tools such as Azure Data Factory, Azure Databricks, and Microsoft Fabric.
  • CI/CD Pipeline Development and Management: Design and maintain CI/CD pipelines for automated deployment, testing, and monitoring of data engineering workflows.
  • Scripting and Programming for Data Processing: Develop and optimize data processing scripts using Python, Java, and other relevant languages.
  • Azure Data Services Expertise: Utilize advanced Azure services to ensure efficient data storage, ingestion, transformation, and analytics.
  • API Development and Integration: Design, develop, and manage APIs to enable smooth data exchange and interoperability with external and internal systems.
  • Automate Data Workflows and Integrations: Create and manage automated workflows to enhance data pipeline efficiency, error handling, and system monitoring

Call or mail me now to avoid disappointment

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