Oracle Advance Engineering-Oracle Data Integrator- PLSQL- AWS-senior

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

EY-Consulting - Data Engineer (AWS & ODI) | Senior At EY, we’re all in to shape your future with confidence.   We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.​   Join EY and help to build a better working world.     About Global Delivery Services Global Delivery Services refers to EY's worldwide network of service delivery centers. The GDS team plays an important role in EY's strategy by ensuring effective support to EY's growth agenda.  Our journey started in 2002 with approximately 200 people. Today we stand at 80,000+ professionals in ten locations around the world. We operate in Argentina, China, Hungary, India, Philippines, Poland, Sri Lanka, Mexico, Spain and the United Kingdom.  Client service is focused on providing Consulting, Assurance, Tax, Strategy & Transactions, and Knowledge support to our clients around the world. The teams enable account teams worldwide to provide seamless, high-quality, value-added support, helping deliver exceptional client service.    The Opportunity We are looking for an experienced Data Engineer with strong Oracle Data Integrator (ODI) and AWS data engineering experience to build, enhance, and modernize enterprise data platforms. The role focuses on scalable ETL/ELT pipelines, cloud-based data processing, data quality, and reliable delivery of analytics-ready datasets.   Your Key Responsibilities

Design, develop, test, and support ETL/ELT solutions using Oracle Data Integrator (ODI). Build and maintain AWS data pipelines using services such as Amazon S3, AWS Glue, Amazon Redshift, and related cloud services. Develop and optimize data transformation logic using SQL, PL/SQL, and PySpark. Create and maintain PL/SQL procedures, functions, packages, triggers, and scripts to support data integration and processing requirements. Analyze and troubleshoot SQL and PL/SQL code, resolve data issues, and support basic performance improvements. Support data ingestion, integration, validation, reconciliation, and production deployment activities. Orchestrate and monitor workflows using Apache Airflow or equivalent scheduling tools. Contribute to data lake and lakehouse solutions, including Apache Iceberg-based implementations where applicable. Investigate pipeline failures and improve performance, stability, and operational reliability. Collaborate with business, analytics, architecture, and engineering teams to translate requirements into scalable data solutions. Follow engineering standards for documentation, code reviews, version control, testing, and release management. Mentor junior team members and contribute to continuous improvement of delivery practices.

Skills and Attributes for Success

Strong hands-on experience in Oracle Data Integrator (ODI), including mappings, packages, scenarios, load plans, and knowledge modules. Hands-on AWS data engineering experience with S3, AWS Glue, and Amazon Redshift. Strong SQL skills and sound understanding of data warehousing, dimensional modelling, and ETL/ELT concepts. Working experience in PL/SQL development, including procedures, functions, packages, triggers, cursors, exception handling, and query troubleshooting. Experience with PySpark or distributed data processing frameworks. Experience with workflow orchestration using Apache Airflow or similar tools. Understanding of data quality, logging, monitoring, error handling, and performance optimization. Ability to work independently, communicate clearly, and collaborate across distributed