Full-Stack Azure Data Engineer

Full-Stack Azure Data Engineer Role Purpose: Develop, deploy, and maintain high-performance, cloud-native data pipelines. Key Responsibilities: Build and scale ETL/ELT pipelines using Azure Databricks notebooks and Synapse scripts. Implement standardized logging, error handling, and restartable processing patterns to ensure pipeline reliability. Configure integrations with Azure Data Lake Storage, source systems, and enterprise data platforms. Architect and maintain CI/CD pipelines and code repositories to automate environment promotion and release management. Requirements: Strong proficiency in Python/SQL, proven expertise in Azure Databricks and Synapse development, and deep experience with automated deployment strategies like Azure DevOps. Job Type: Full-time Work Location: In person