Azure Data Engineer for ETL & Analytics Solutions

We need an experienced Azure Data Engineer to design and implement robust data solutions on the Azure platform. You'll work on ETL processes, data analytics, and collaborate with cross-functional teams to deliver scalable data engineering solutions.

Requirements:
• Strong experience with Azure Data Factory (ADF) for ETL processes
• Proficiency in Azure Databricks for advanced analytics
• Hands-on experience with Azure Data Lake Storage (ADLS)
• Experience with Azure Synapse Analytics for real-time analytics
• Strong SQL skills for querying and database optimization
• Python programming for scripting and automation
• Experience with data modeling and data warehousing concepts
• Excellent communication skills to work with stakeholders
• Bachelor's degree in Computer Science or related field

Preferred:
• Microsoft Certified: Azure Data Engineer Associate certification
• Experience with Git version control and DevOps practices
• Knowledge of data security and compliance best practices

Deliverables:
• Design and implement end-to-end data solutions
• Develop ETL processes using Azure Data Factory
• Create data processing solutions with Azure Synapse Analytics
• Provide regular project updates and documentation
• Collaborate with data scientists and business users

This is an hourly position requiring strong technical expertise and communication skills. The project involves working with a dynamic team to build scalable data infrastructure on Azure.