The primary responsibilities include designing and implementing data valorization solutions, developing reporting and decision-support tools, mapping data transformation processes, conducting functional analyses for data transformation projects, providing project management support, defining AI strategies, and evaluating big data and analytics platforms.
Required experience includes a Master's degree, strong cloud and big data architecture knowledge (Azure, AWS, GCP, Hadoop, Spark), proficiency in modern development practices (DataOps, DevOps, CI/CD), expertise in programming languages like Python and SQL, ability to create and maintain data processing pipelines, and experience with micro-services and API deployment.
EY offers an opportunity to work with leading international clients, provides geographical mobility, access to international professional communities, integration and training seminars, flexible smart working arrangements, and the chance to engage in various professional and social initiatives while developing cutting-edge digital transformation solutions.
