As a Data and AI Solutions Engineer, you will be responsible for designing and building new functionalities for client use cases, utilizing cloud technologies like Azure, Databricks, and Data Factory. You'll construct data platforms, perform data modeling, and collaborate with cross-functional teams to deliver comprehensive data solutions for financial and insurance industry clients.
The role requires extensive technical skills including advanced knowledge of SQL, Python, PySpark, cloud platforms, and data engineering principles. Candidates should have 2-6 years of experience in data analytics, systems analysis, and data pipeline development. Strong proficiency in cloud technologies, ETL processes, and modern application architectures is essential.
EY offers comprehensive professional development, including access to Udemy for Business, language courses, global certification programs, and a dedicated career counselor. The company provides a supportive environment for technical growth, with opportunities to work on innovative projects and leverage AI-powered tools like EYQ virtual assistant.
