Oracle PL/SQL Developer

CapgeminiNew York, NY
Hybrid

About The Position

We are seeking a skilled Oracle PL/SQL Developer to design, build, and optimize high‑performance data processing and integration solutions. The ideal candidate will have strong expertise in PL/SQL development, SQL performance tuning, and large‑scale data processing, and will work closely with cross‑functional stakeholders to support modernization and data-driven initiatives.

Requirements

  • Strong hands-on experience in Oracle PL/SQL development and advanced SQL scripting
  • Demonstrated ability to write optimized, scalable, and maintainable PL/SQL code
  • Proven expertise in SQL performance tuning and query optimization
  • Experience implementing exception handling, logging, and fault-tolerant mechanisms
  • Solid understanding of data transformation, ETL processing, and batch workflows
  • Experience working with large data volumes and high‑throughput systems
  • Good understanding of data modeling concepts (OLTP, Data Warehouse, Data Marts)
  • Strong analytical, troubleshooting, and problem‑solving skills

Nice To Haves

  • Experience with ETL tools such as Informatica or modern data platforms like Snowflake
  • Exposure to Python, Java, or API‑based system integrations
  • Familiarity with cloud platforms such as AWS or Azure
  • Experience with job orchestration tools (e.g., Control‑M, Airflow)
  • Understanding of DevOps practices, including CI/CD, Git, Jenkins, and Docker
  • Experience working in Agile delivery environments (Scrum/Kanban)

Responsibilities

  • Develop, maintain, and enhance Oracle PL/SQL packages, procedures, and functions for enterprise data processing
  • Implement robust data transformation, aggregation, and validation logic
  • Design and implement error handling, logging, and exception management frameworks
  • Optimize complex SQL queries and PL/SQL code for performance, scalability, and reliability
  • Build and support batch data processing pipelines and data integration workflows with internal and external systems
  • Analyze and support redesign or modernization of existing systems and data flows
  • Work with large datasets in performance‑critical environments
  • Collaborate with business and technical stakeholders to gather requirements and deliver effective solutions
  • Support testing, troubleshooting, issue resolution, and production stability
  • Ensure compliance with data quality, security, and governance standards

Benefits

  • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
  • Other benefits as provided by local policy and eligibility
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