Azure Data Engineer

Responsibilities include, but are not limited to, the following:

•Design, develop, and maintain data pipelines and ETL processes using Microsoft Azure services (e.g., Azure Data Factory, Azure Synapse, Azure Databricks, Azure Fabric).

•Utilize Azure data storage accounts for organizing and maintaining data pipeline outputs. (e.g., Azure Data Lake Storage Gen 2 & Azure Blob storage).

•Collaborate with data scientists, data analysts, data architects and other stakeholders to understand data requirements and deliver high-quality data solutions.

•Optimize data pipelines in the Azure environment for performance, scalability, and reliability.

•Ensure data quality and integrity through data validation techniques and frameworks.

•Develop and maintain documentation for data processes, configurations, and best practices.

•Monitor and troubleshoot data pipeline issues to ensure timely resolution.

•Stay current with industry trends and emerging technologies to ensure our data solutions remain cutting-edge.

•Manage the CI/CD process for deploying and maintaining data solutions.