Primary responsibilities include crafting advanced data solutions on Azure, designing efficient data workflows, establishing resilient data storage systems, and building scalable ETL pipelines with a specific focus on integrating ESG considerations into data strategies and technical solutions.
Required experience includes 3+ years of data engineering experience with Azure services like Data Factory, Synapse, SQL Databases, and Databricks. Candidates must demonstrate expertise in data transformation using Power Query, Python, and PySpark, strong knowledge of Microsoft Fabric services, and proficiency in data modeling, ETL design, and complex data architecture optimization.
EY offers a dynamic global delivery network with continuous learning opportunities, flexible work environments, transformative leadership development, and a diverse, inclusive culture. Professionals can expect to collaborate across global teams, work on exciting international projects, and develop skills within a supportive, innovative ecosystem that emphasizes personal and professional growth.
