Associate Staff Engineer (UniVerse PICK Developer)

Requirements

• Experience : 4+ 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 structures, 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, and problem-solving skills.

• Ability to collaborate effectively with .NET developers and cross-functional technical teams.

• Direct experience with Rocket UniVerse would be highly preferred.

• Exposure to D3, jBASE, or other PICK-family technologies would be an advantage.

• Experience with VB.NET or C# .NET, particularly in presentation or application-layer development, would be beneficial.

• Exposure to Win32 desktop client applications would be an added advantage.

• Knowledge of the wholesale distribution domain would be preferred.

• Experience migrating PICK/MultiValue data to relational databases or modern data platforms would be beneficial.

Responsibilities

• Develop, maintain, and enhance application logic within the Rocket UniVerse environment.

• Manage database-layer development and support 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 technical 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.

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

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