Role Title: Azure Cloud Data Engineer
Location: Cary, NC
Duration: 6 Month Contract
Job Description:
- 3+ years of experience in Azure cloud development and management.
- Proficiency in Azure services such as Azure Virtual Machines, Azure Storage, and Azure Networking.
- Experience with Infrastructure as Code tools like Azure Resource Manager (ARM) templates or Terraform.
- Strong scripting skills in PowerShell, Python, or similar languages.
- Understanding of DevOps practices and CI/CD pipelines.
Role Descriptions:"• Design, develop, and maintain scalable and efficient data pipelines using Azure services such as Azure Data Factory, Azure Databricks, Azure SQL Database, and Azure Synapse Analytics.
- Design, implement, and manage cloud-based applications using Azure services.
- Develop Infrastructure as Code to automate the provisioning and management of cloud resources.
- Write and maintain scripts for automation and deployment.
- Monitor and Eligible to workimize cloud resources for performance and cost efficiency.
- Collaborate with DevOps and security teams to ensure best practices in cloud architecture.
- Troubleshoot and resolve issues related to Azure services and infrastructure.
Essential Skills:
- Strong knowledge of Azure services and cloud architecture.
- Azure, Databricks, Azure Data Factory(ADF), Azure Synapse, Cloud Computing, Spark, PySpark, Python, Scala, Java, Hive, SQL.
- Strong understanding of Azure data services, including Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Synapse Analytics, and Azure Data Lake Storage.
- Experience with Infrastructure as Code (e.g., ARM templates, Terraform).
- Proficiency in scripting languages like PowerShell or Python.
- Understanding of security best practices in the cloud.
- Excellent problem-solving skills and attention to detail.
- Azure certifications (e.g., AZ-104, AZ-303) are a plus
- Soft Skills:
- Problem-Solving
- Communication Skills
- Analytical Thinking
- Attention to Detail
- Adaptability
- Hard Skills:
- Azure Services (e.g., Virtual Machines, Storage, Networking)
- Cloud Architecture
- DevOps Practices
- Scripting (e.g., PowerShell, Python)
- Infrastructure Management (e.g., ARM templates, Terraform)
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