As a Data Engineer at EY, you will be primarily responsible for designing and implementing comprehensive data extraction, transformation, and loading processes across diverse data sources. This includes supporting end-to-end AI solution delivery, identifying data sources, designing data schemas, and integrating complex data sets that meet business requirements. Your role will involve creating scalable batch and real-time data pipelines with a strong focus on DataOps, ensuring optimal performance, reliability, and cost-effectiveness.
The role requires extensive technical expertise, including a Master's degree in computer science or related field, with at least 2 years of big data software development experience. Candidates must demonstrate advanced knowledge of data structures, algorithms, and proficiency in Python data exploration libraries. Strong practical experience is needed in data modeling, big data platforms like Hadoop and Spark, and extracting/loading data from various database technologies including RDBMS, MPP, and NoSQL databases.
EY offers an exceptional professional environment with extensive training opportunities, flexible working arrangements, and a dynamic team focused on financial services. You'll join a global professional services firm that provides comprehensive support, access to innovative technologies, and the chance to build a successful career while maintaining work-life balance. The role promises professional growth, exposure to cutting-edge technologies, and the opportunity to work with diverse clients in the financial sector.
