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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

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