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
