Job Description

Azure Cloud Data Engineer

Roles & Responsibilities

• We are seeking an experienced and motivated Azure Data Engineer to join our vibrant team. The successful candidate will play a crucial role in designing, implementing, and maintaining data pipelines, databases, and data analytics solutions on the Azure cloud platform. The role requires strong technical expertise in Azure services and a deep understanding of data engineering principles. The ideal candidate requires extensive experience in designing, deploying, and managing cloud-based solutions on Microsoft Azure. Work closely with our DevOps and security teams to create scalable, secure, and efficient cloud infrastructure that meets our business needs.

Requirements:

• 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.

Responsibilities:

• 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 optimize 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.

Must-Have 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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