Azure Data Engineer L3

• Design, develop, and optimize data pipelines using Azure Data Factory (ADF).
• Implement ETL processes and data modeling solutions to support seamless data integration.
• Work with Azure Synapse Analytics and Databricks for large-scale data processing and advanced analytics.
• Develop custom data processing logic using Python, PySpark, and SQL.
• Collaborate with cross-functional teams in Agile environments to deliver end-to-end data solutions aligned with business goals.
• Integrate external systems via Logic Apps and REST APIs for workflow automation.
• Use Git and Azure DevOps for version control, CI/CD pipeline implementation, and automated deployments.
• Ensure solutions are performance-tuned, secure, and reliable, supporting downstream reporting and analytics.
  

Required Skills & Experience

• 3+ years of proven experience as a Data Engineer with expertise in Azure cloud services.
• Proficiency in Azure Data Factory (ADF), Azure Synapse Analytics, and Databricks.
• Strong background in ETL development, data modeling, and data integration from multiple sources.
• Hands-on expertise in Python, PySpark, and SQL.
• Experience with Logic Apps, REST APIs, Git, and Azure DevOps (CI/CD pipelines).
• Solid understanding of Agile methodologies and experience working with cross-functional teams.
• Strong problem-solving, analytical, and communication skills.