Risk Consulting - Digital Risk - Staff - Data engineer

As an Azure Data Engineer at EY, you will be part of a globally connected powerhouse of diverse teams that can shape your future with confidence. You will have the opportunity to succeed in a dynamic environment and take your career wherever you aspire it to go. Joining EY means contributing to building a better working world where you can make a difference. Your role will involve developing and deploying Azure Databricks in a cloud environment using Azure Cloud services, designing and optimizing ETL processes, and interacting with onshore teams to understand their business goals. You will be responsible for developing data ingestion, processing, and analytical pipelines for big data solutions, utilizing various Azure services such as Databricks, ADLS, Azure Data Factory, and more. Your expertise in programming languages like Python/Scala, hands-on experience with Spark, and knowledge of DevOps and CI/CD deployments will be essential for this role. To excel in this position, you must have 2-5 years of experience in big data engineering, strong analytical skills, and the ability to solve complex technical problems. Your educational background should include a BS/MS degree in Computer Science, Engineering, or a related subject. Being well-versed in Agile delivery methodology, having excellent communication skills, and demonstrating a proactive working style with a strong sense of ownership will be key attributes for success in this role. EY is committed to providing equal opportunities to all candidates and encourages applications from individuals with diverse experiences and backgrounds. By joining EY, you will be part of a team that is dedicated to building a better working world by creating new value for clients, society, and the planet. With a focus on data, AI, and advanced technology, EY teams help shape the future with confidence and address the most pressing issues of today and tomorrow across various services and sectors globally.,