EY is seeking a skilled Azure Data Engineer with a minimum of 5 years of experience to join our Protect Tech team. This role is instrumental in analyzing business needs, translating them into robust technical solutions, and developing efficient ETL processes using Azure Data Factory. You'll leverage Python for scripting and integrate Microsoft Power Platform to create intuitive user interfaces and automate workflows, driving better business decisions.

As part of a globally connected powerhouse, you'll collaborate with diverse teams to ensure seamless integration and maintain high standards of data quality and system performance. We are committed to building a better working world and encourage applications from candidates with varied backgrounds and experiences.

Design, develop, test, and deploy Azure Data Factory pipelines for ETL processes. Create, maintain, and optimize Python scripts for data operations. Utilize Microsoft Power Platform (Power Apps, Power Automate, Power BI) for UI design, workflow automation, and database solutions. Collaborate with cross-functional teams for seamless integration. Debug and resolve technical issues related to data transformations. Implement data validation and error handling routines. Maintain comprehensive system documentation. Monitor and optimize ADF solution performance. Stay current with emerging data technologies.

Proven experience as an Azure Data Factory Developer with a minimum of 5 years in the field. Hands-on expertise in data architectures, including complex data models and data governance. Strong proficiency in Python and demonstrated experience with ETL processes. Proficient knowledge of Microsoft Power Platform (Power BI, Power Apps, and Power Automate). Solid understanding of SQL and relational database concepts. Familiarity with cloud technologies, particularly Microsoft Azure. Excellent problem-solving and debugging skills. A BS/MS degree in Computer Science, Engineering, or a related field is required.