Hybrid onsite
1 opening at Dallas, TX, 75019 / Tampa, FL, 33647
1 opening at Hyderabad (1)- Contract Only- 35
2 round interview process
Looking for Oracle PL/SQL with Snowflake
Position Summary
This role is responsible for developing, enhancing, and supporting highperformance 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, handson 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, rootcause 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 handson experience with Oracle SQL and PL/SQL in enterprise environments
Proven experience developing and supporting complex PL/SQLbased 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
EEO:
"Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans."