Senior Staff Engineer (UniVerse PICK Developer)

Job Description

Requirements

• Experience : 7.5+ years
• Hands-on experience with Rocket UniVerse, UniData, jBASE, D3, or other PICK/MultiValue database and application environments.
• Strong understanding of MultiValue database concepts, data structures, file systems, dictionaries, and attribute definitions.
• Working knowledge of PICK/MultiValue query languages such as RetrieVe or AQL.
• Experience developing, maintaining, and troubleshooting application logic in a MultiValue environment.
• Good understanding of SQL Server and experience working with the SQL layer alongside UniVerse.
• Familiarity with ERP or distribution-system workflows, particularly Order Management, Inventory, Purchasing, and Reporting.
• Ability to troubleshoot complex database-layer issues and resolve critical production defects.
• Strong analytical, debugging, problem-solving, and communication skills.
• Ability to collaborate with .NET developers and cross-functional technical teams.
• Direct experience with Rocket UniVerse would be highly preferred.
• Exposure to VB.NET or C# .NET, particularly in presentation or application-layer development, would be an advantage.
• Experience with Win32 desktop client applications would be beneficial.
• Knowledge of the wholesale distribution domain would be an added advantage.
• Experience migrating PICK/MultiValue data to relational databases or modern data platforms would be preferred.

Responsibilities

• Develop, maintain, and enhance application logic within the Rocket UniVerse environment.
• Manage and support database-layer development across business modules, including Order Management, Inventory, Purchasing, and Reporting.
• Work with Rocket UniVerse and other PICK/MultiValue database platforms to maintain core data structures and business logic.
• Troubleshoot and resolve high-priority defects, production issues, and escalations originating from the UniVerse data layer.
• Work with MultiValue data structures, file definitions, dictionaries, and attribute configurations.
• Develop and execute queries using PICK/MultiValue query languages such as RetrieVe or AQL.
• Collaborate with .NET developers to investigate and resolve end-to-end application and integration issues.
• Support SQL Server integration and work with the SQL layer alongside UniVerse applications.
• Document database structures, business rules, application logic, and integration patterns to support knowledge transfer.
• Contribute to application enhancements, database optimization, and ongoing maintenance activities.
• Support data migration initiatives from PICK/MultiValue platforms to relational or modern data platforms, where required.

Qualifications

Bachelor’s or master’s degree in computer science, Information Technology, or a related field.