The Senior Data Engineer role at EY involves working within the Service Delivery Center, focusing on building scalable data platforms and cloud data applications for financial services clients. The team is composed of high-performing professionals who collaborate closely to deliver technology solutions. This position requires a flexible self-starter who can manage changing priorities and rapidly evolving technology. The main goal is to help clients solve complex business problems by delivering reliable and well-governed data solutions.

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.
• At least 3 years of relevant experience in data engineering and cloud data platforms.
• Hands-on experience with Snowflake and enterprise data platform development.
• Working knowledge of ETL, streaming, and integration technologies such as Informatica, SnapLogic, and Kafka.
• Experience with data modeling, SQL, database design, and performance tuning.
• Working knowledge of cloud platforms such as AWS, Azure, and Google Cloud.
• Experience with Python, containers, and Kubernetes.
• Experience with Jenkins, Artifactory, uDeploy, and CI/CD pipelines.

• Build resilient batch and streaming data pipelines.
• Design data models and cloud data applications.
• Apply data quality standards and ensure data lineage and observability.
• Own assigned workstreams independently from design through production support.
• Collaborate across product, engineering, testing, and operations teams.
• Mentor less-experienced team members where appropriate.
• Resolve production data issues as they arise.

• Ernst & Young (EY) offers a comprehensive and competitive benefits package designed to support the well-being of its employees across various dimensions.