Azure Cloud Data Engineer

Diverse Lynx LLC

Cary, NC, United States

2 days ago

Apply on www.careerjet.com

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Role details

Contract type

Temporary to permanent

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

3 years minimum

Compensation

$93,600.0 - $108,160.0

Working hours

Regular working hours

Job source

www.careerjet.com

Tech stack

Java (Programming Language) Microsoft Azure Software as a Service Cloud Computing Cloud Engineering DevOps Apache Hive Python (Programming Language) SQL Azure Windows PowerShell Azure Data Lake Scala (Programming Language)

+12 more

SQL Databases Virtual Machines Scripting Azure Data Factory Apache Spark Pyspark Infrastructure Automation Frameworks Terraform Azure Synapse Analytics Data Pipelines Azure Resource Manager Databricks

Job description

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.

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., * 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)