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# Oracle PL/SQL Developer

- **Company:** Virtusa Corporation
- **Location:** United States
- **Contract:** Permanent contract
- **Skills:** CA Workload Automation Ae, Unix, Cloud Computing, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Mining, Data Warehousing, Relational Databases, Dimensional Modeling, Github, Job Scheduling, Python (Programming Language), Oracle Business Intelligence Enterprise Edition, Oracle Databases, Oracle (Applications), Oracle SQL Developer, Performance Tuning, SQL Stored Procedures, Scripting, Freeform SQL, Software Version Control, Control M
- **Published:** September 10, 2026
- **Apply:** https://www.dice.com/job-detail/fb9e8725-ed0c-445f-ac68-20a488d7b278

## About the Role

* Expert-level knowledge of writing complex SQL queries using Oracle
 * Expert-level knowledge of Oracle PL/SQL (Stored Procedures, Functions, Packages, Triggers)
 * Strong working experience in ETL tools like Informatica
 * Working experience in scripting and automation using Unix, Python
 * Extensive experience with Relational Databases like Oracle including performance tuning
 * Strong knowledge of Data warehousing patterns and Dimensional Modeling techniques using Oracle
 * Experience building scalable patterns for data integration in cloud-based and on-prem environments
 * Working knowledge of Batch scheduling tools like Control-M, Autosys
 * Experience with business intelligence and analytics tools such as OBIEE/OAS
 * Working experience using GitHUB for Source Code Management (SCM) in a Data Engineering Practice

## Description

This position involves working as an Oracle PL/SQL Developer within our team. The role requires expertise in writing complex SQL queries using Oracle, as well as strong knowledge of Oracle PL/SQL, ETL tools, scripting, data warehousing, data integration, and business intelligence., * Write complex SQL queries using Oracle

 * Develop and maintain Oracle PL/SQL stored procedures, functions, packages, and triggers
 * Utilize ETL tools like Informatica for data extraction, transformation, and loading
 * Create scripts and automate processes using Unix, Python in a Data Engineering environment
 * Implement performance tuning techniques for Oracle databases
 * Apply data warehousing patterns and dimensional modeling techniques using Oracle
 * Build scalable data integration patterns for cloud-based and on-prem environments
 * Utilize batch scheduling tools like Control-M, Autosys for job scheduling
 * Work with business intelligence and analytics tools such as OBIEE/OAS
 * Use GitHUB for Source Code Management (SCM) in a Data Engineering Practice


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