Job Description
Requirements
- Experience: 4+ years
- Hands-on experience with Rocket Uni Verse, Uni Data, jBASE, D3, or other PICK/Multi Value database and application environments.
- Robust understanding of Multi Value database concepts, data structures, file structures, dictionaries, and attribute definitions.
- Working knowledge of PICK/Multi Value query languages such as Retrie Ve or AQL.
- Experience developing, maintaining, and troubleshooting application logic in a Multi Value environment.
- Good understanding of SQL Server and experience working with the SQL layer alongside Uni Verse.
- 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 Uni Verse 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/Multi Value data to relational databases or modern data platforms would be beneficial.
Responsibilities
- Develop, maintain, and enhance application logic within the Rocket Uni Verse environment.
- Manage database-layer development and support across business modules, including Order Management, Inventory, Purchasing, and Reporting.
- Work with Rocket Uni Verse and other PICK/Multi Value database platforms to maintain core data structures and business logic.
- Troubleshoot and resolve high-priority defects, production issues, and technical escalations originating from the Uni Verse data layer.
- Work with Multi Value data structures, file definitions, dictionaries, and attribute configurations.
- Develop and execute queries using PICK/Multi Value query languages such as Retrie Ve 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 Uni Verse 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/Multi Value 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.
📌 Associate Staff Engineer (UniVerse PICK Developer) (India)
🏢 Nagarro
📍 India