Join EY's Global Delivery Services team as a Senior AWS Engineer specializing in Oracle Analytics. This role offers a unique opportunity to shape your career within a globally recognized organization, focusing on leveraging data and technology to solve complex client challenges. You will be integral to a dynamic Cloud Infrastructure and Data Analytics team, driving business transformation through advanced data pipelines and serverless architectures.

As part of EY, you will contribute to a better working world, benefiting from a supportive, inclusive culture and access to cutting-edge technology. We are committed to your professional development, providing a flexible environment and empowering you to excel.

Design, deploy, and manage robust cloud-native solutions on AWS, utilizing services like Glue, Lambda, S3, DynamoDB, Lake Formation, Athena, Redshift, and RDS. Build scalable data lakes using S3 and Iceberg, ensuring secure and governed data access for analytics and reporting. Implement event-driven workflows with Lambda, SNS, and EventBridge for automation and real-time data processing. Develop and integrate APIs to support backend systems and client applications. Monitor, troubleshoot, and optimize cloud infrastructure using CloudWatch and Grafana. Automate deployments via CI/CD pipelines and Infrastructure as Code (IaC) frameworks. Mentor junior engineers and foster knowledge sharing across teams. Understand and work with Databricks pipelines.

A computer science graduate or equivalent with 5-10 years of industry experience is required. Demonstrated hands-on experience in designing and implementing AWS cloud infrastructure at scale is essential. Expertise in data lake formation, governance, and analytics using AWS Lake Formation, S3, Athena, and Iceberg is crucial. Strong knowledge of serverless architectures and event-driven workflows using Lambda, SNS, and EventBridge is expected. Proficiency in scripting languages like Python or Bash for cloud automation is necessary. Experience developing APIs and integrating distributed systems in cloud environments is required. Strong knowledge of DynamoDB, data modeling, and query optimization for NoSQL data stores is a must. Experience with CI/CD pipelines and DevOps practices is beneficial. Analytical mindset with strong troubleshooting and performance tuning capabilities is key.