The Senior Data Engineer role at EY focuses on designing and building AI and analytics solutions that provide significant business value. You will be part of the Products and Platforms Practice, which specializes in intelligent platforms for ambitious organizations. This position requires collaboration with data and analytics professionals to ensure technical requirements align with business needs. The role offers the opportunity to work with cutting-edge technologies and requires regular travel to meet with clients.

• A Bachelor's degree in Data Science, Machine Learning, Computer Science, Statistics, Mathematics, Engineering, Applied Math, Analytics, or a related field.
• Typically 2 to 4 years of relevant experience.
• Hands-on experience developing scalable data solutions using Python, R, and SQL.
• Proficiency in cloud computing and data architecture design.
• Experience in data integration and security.

• Design and build scalable on-premises or cloud data architecture.
• Analyze business requirements and translate them into technical specifications.
• Optimize data flows for target data platform designs.
• Collaborate with other data and analytics professionals to ensure alignment with business needs.
• Transform data into actionable insights.

• Ernst & Young (EY) offers a comprehensive and competitive benefits package designed to support the well-being of its employees across various dimensions.