Oracle PL/SQL Developer (with Snowflake)

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Location - Hybrid onsite - Dallas, TX, 75019 / Tampa, FL, 33647

• Looking for Oracle PL/SQL with Snowflake
• Interview: 2 round interview process
  
  

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 hands-on experience 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
  
  

EEO: Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.