Azure Data Engineer with AKS Experience Required

We are seeking a highly skilled Azure Data Engineer to design, develop, and maintain robust data solutions on the Azure platform. This role requires strong technical expertise in Azure Data Engineering services and hands-on experience with Azure Kubernetes Service (AKS).

Requirements:
• Proven experience as an Azure Data Engineer with end-to-end data solutions
• Strong proficiency in Azure Data Lake Storage (ADLS), Azure Data Factory (ADF), Azure Databricks, and Azure Synapse Analytics
• Hands-on experience with Azure Kubernetes Service (AKS) - this is essential
• Solid experience in SQL programming and Python scripting
• Experience with ETL processes, data modeling, and data warehousing concepts
• Familiarity with version control systems (Git) and DevOps practices
• Strong communication skills to collaborate with cross-functional teams
• Bachelor's degree in Computer Science, Information Technology, or related field

Deliverables:
• Design and implement scalable data solutions on Azure platform
• Develop ETL processes using Azure Data Factory for data ingestion and transformation
• Create data processing solutions using Azure Synapse Analytics
• Utilize Azure Databricks for advanced analytics and large dataset processing
• Provide regular project updates and collaborate with stakeholders
• Deliver optimized database performance through efficient SQL querying

This is an hourly position requiring strong problem-solving skills and the ability to work in a collaborative team environment. Microsoft Certified: Azure Data Engineer Associate certification is preferred but not required.

About the project: You'll be working on comprehensive data engineering solutions that require both Azure cloud expertise and containerization knowledge with AKS.