Software Developer 3

We are looking for senior engineers with experience in supporting data warehousing products. As a member of the Product development organization, focus will be on working with development teams, providing timely support to customers and identify/implementing process automation, for cloud BI product.

• BS or higher degree in Computer Science / Engineering or equivalent
• 3+ years of experience, supporting business customers on any Cloud/On-premise BI Application
• Experience in SQL/PL-SQL and excellent de-bugging skills
• Troubleshooting  network latency, intermittent issues, reading and analysing log files
• Working experience with any ERP, HCM, CX applications such as Oracle EBS, Fusion is desired but not must
• Good programming skills in Python / Java / JavaScript
• Understanding of Web Application Architecture
• Exposure to cloud infrastructure, Oracle Cloud Infrastructure (OCI) is preferred
• Experience in performance tuning SQL and understanding ETL pipelines
• Build, Configure, Manage and Coordinate all Build and Release engineering activities
• Strong logical/critical thinking and problem resolution skill

Career Level - IC3

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Disclaimer:

Oracle is an Equal Employment Opportunity Employer*. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

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This posting is for Senior Engineer for enabling 24x7 Operations in the Oracle Fusion Data Intelligence (FDI) product development organization. You will be responsible for managing the uptime of the service and ensuring that customers data pipeline, that runs complex transformations, runs smoothly. Customer rely on the data that is updated by the Pipeline and have downstream dependencies. Therefore, it's important the data pipeline completes on time and with accuracy. Anomalies should be detected and mechanisms should be put in place to identify early detection of issues so that mitigation can be handled without impacting the overall timelines