Contribute to client projects using Agile (SCRUM) methodologies and DevOps approaches, developing sophisticated data synchronous and asynchronous pipelines with advanced processing layers using technologies like R, Python, Talend, Spark, Redis, and Kafka.
Required experience includes a Master's level qualification, minimum 1 year as a Data Engineer with strong programming skills in Python, R, or Spark, proficiency in web frameworks, SQL data modeling, and familiarity with data platforms like Hadoop and cloud environments.
EY offers a unique work environment with opportunities for professional growth, including comprehensive training programs, mentorship, international mobility, engagement in sustainability initiatives, and the chance to work with leading global clients while contributing to innovative technological solutions.
