Oracle Recruitment 2026

Oracle

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1 day ago

Key Responsibilities

As an active developer within Oracle’s software engineering division, your engineering roadmap will involve the following continuous deliverables:
Enhancement Coding: Implementing, writing, and testing backend code improvements inside an established, complex enterprise software architecture.
System Integration Management: Developing and supporting secure data system interfaces utilizing Oracle Cerner FSI layers to connect clinical database systems with external environments smoothly.
Debugging & Diagnostics: Investigating software system errors, tracing complex backend application behaviors, performing root cause data analysis, and deploying reliable fixes.
Design Adherence: Collaborating closely with senior systems architects to write software modules that conform perfectly to specified engineering guidelines and organizational criteria.
Data Reporting Pipeline Build: Writing custom diagnostic and reporting queries leveraging Cerner Command Language (CCL) to extract analytical layers efficiently.

To qualify for the Data Systems Engineering domain track, Oracle is evaluating candidates who demonstrate a strong grasp of foundational software architectures alongside specialized data management layers:
Educational Credentials: Must have successfully completed a full-time B.E / B.Tech graduation course from a recognized technical board or university.
Database & Language Competencies: Hands-on familiarity or explicit training in relational databases using SQL and query optimization paradigms.
Specialized Healthcare Systems (Preferred): Foundational knowledge or direct eagerness to work extensively with Cerner Command Language (CCL) and Cerner Foreign Systems Interface (FSI) architectures.
Interface Architecture Development: Basic understanding of how disparate system endpoints exchange structural datasets, protocols, and interface components.
Core Problem Isolation: Strong structural analytical logic, technical troubleshooting skills, and the capacity to identify customer operational bottlenecks to propose scalable database answers.

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