Associate Staff Engineer (UniVerse PICK Developer)

* 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.

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

Company Description
👋🏼We're Nagarro.

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at a scale — across all devices and digital mediums, and our people exist everywhere in the world (18500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!