LOCAL ONLY
Title: Oracle PL/SQL
with Snowflake
Location: Jersey City Hybrid – 3 Days onsite (LOCAL ONLY)
Job Description:
Position Summary
This role is responsible for developing, enhancing, and supporting high‑performance Oracle PL/SQL–based data solutions while contributing to ongoing data modernization initiatives leveraging the Snowflake cloud data platform.
The ideal candidate will have strong database engineering fundamentals, hands‑on experience with Oracle PL/SQL, and working knowledge of Snowflake in support of analytical, reporting, and regulatory data workloads.
Key Responsibilities
· Design, develop, and maintain complex Oracle PL/SQL code including packages, procedures, functions, triggers, and views
- Support transactional (OLTP) and analytical (OLAP) data workloads with a focus on performance, reliability, and scalability
- Develop and optimize Snowflake SQL objects including tables, views, and schemas
- Support data transformation, validation, reconciliation, and audit controls
- Perform SQL and PL/SQL performance tuning, root‑cause analysis, and production issue resolution
- Partner with application teams, data engineers, and business stakeholders to deliver data solutions aligned with enterprise standards
- Participate in Agile ceremonies, sprint planning, and release execution
- Ensure compliance with SDLC, change management, data governance, and security standards
· Contribute to technical documentation, data models, and operational runbooks
Required Qualifications
· Bachelor’s degree in Computer Science, Engineering, or equivalent professional experience
- Strong with Oracle SQL and PL/SQL in enterprise environments
- Proven experience developing and supporting complex PL/SQL‑based data solutions
- Experience working with Snowflake as a cloud data warehouse
- Solid understanding of relational data modeling and database design principles
- Experience supporting production data platforms and resolving performance issues
· Strong analytical, troubleshooting, and communication skills
Preferred Qualifications
· Experience with data warehousing concepts (dimensional modeling, star/snowflake schemas)
- Exposure to cloud platforms (AWS preferred)
- Experience with ETL, data pipelines, or data integration tools
- Familiarity with Unix/Linux environments and job scheduling tools
- Experience in financial services or regulated environments
· Knowledge of CI/CD practices and Agile delivery models
Key Competencies
· Database & Data Engineering Excellence
- Performance Optimization & Problem Solving
- Data Quality & Integrity
- Collaboration & Stakeholder Partnership
Operational Readiness & Production Support
Thanks & Regards
Shrey Sharma
Technical Recruiter
LinkedIn: https://www.linkedin.com/in/shrey-sharma-322992370/
Novia Infotech, 4421 Avenida Ln, McKinney, TX, 75070, www.noviainfotech.com
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