PL/SQL Developer

Virtusa; Westlake (TX); On-site; USD 120,000 - 160,000; Full time

Job summary

Virtusa is seeking a Data Engineer in the United States with Oracle SQL/PLSQL expertise and extensive ETL experience. The role emphasizes independent contribution, strong communication, and hands-on data integration across cloud and on‑prem environments.

Proficiency in Informatica PowerCenter, Unix scripting, Python, and BI tools is required. The candidate will work with relational databases, performance tuning, dimensional modeling, and batch schedulers like Control-M/Autosys, contributing to

Qualifications

• 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 (Power Center)
• Working experience in scripting and automation using Unix, Python in a Data Engineering environment.
• Extensive experience with Relational Databases like Oracle including being able to implement performance tuning techniques
• Strong working knowledge of Datawarehousing patterns and Dimensional Modelling techniques using Oracle.
• Experience building scalable patterns for data integration in a cloud-based as well as 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.

Skills

SQL

PL/SQL

Python

Unix scripting

Data integration

Data warehousing

Dimensional modeling

Performance tuning

Tools

Informatica PowerCenter

Control-M

Autosys

OBIEE

GitHub

Job description

Job Requirements

Data Engineer who has the ability to be an independent contributor with strong communication skills" "

• 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 (Power Center)
• Working experience in scripting and automation using Unix, Python in a Data Engineering environment.
• Extensive experience with Relational Databases like Oracle including being able to implement performance tuning techniques
• Strong working knowledge of Datawarehousing patterns and Dimensional Modelling techniques using Oracle.
• Experience building scalable patterns for data integration in a cloud-based as well as 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.