The Databricks Data Engineer - Manager role at EY involves leading a team in designing and implementing complex cloud analytics solutions, primarily using Databricks. The position requires a blend of technical expertise in data architecture and cloud technologies, along with strong leadership and client management skills. The manager will work closely with data and analytics professionals to ensure business requirements are effectively translated into technical solutions. This dynamic environment offers opportunities for innovative problem-solving and professional growth.

• Bachelor's degree in computer science, Engineering, or a related field is required; Master's degree is preferred.
• Typically, no less than 4 - 6 years of relevant experience in data engineering, focusing on cloud data solutions and analytics.
• Proven expertise in Databricks and experience with Spark for big data processing.
• Strong programming skills in languages such as Python, Scala, or SQL.
• Excellent problem-solving skills and the ability to work independently and as part of a team.

• Lead the design and development of scalable data engineering solutions using Databricks on cloud platforms.
• Oversee the architecture of complex cloud analytics solutions, ensuring alignment with business objectives.
• Manage and mentor a team of data engineers, fostering a culture of innovation and collaboration.
• Collaborate with clients to understand their analytics needs and deliver tailored solutions.
• Drive end-to-end data pipeline development, including data ingestion, transformation, and storage.

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