Solutions Engineer/Systems Engineer - Inriver Certification Mandatory

Position : Solutions Engineer/Systems Engineer

Location : Remote

Inriver Certification Mandatory

• System Analyst, Product Information Management inriver - Solutions Engineer/Systems Engineer
• Perform analysis on existing relational Create integrations, customizations, and non-relational structures from various sources and business groups automations
• Consolidate Design technical specifications
• Develop and Normalize the data and map enhance custom extensions to the destination data model support integrations and system workflow requirement
• Identify new attributes Diagnose , build debug, and fix technical requirements while mapping to the business context issues reported from existing implementation
• Understand, document, and usage of elaborate the attribute technical and non-technical requirements for system integrations and customization.
• Recommend incremental updates to data model accommodating additional data attributes and entities
• Work with technical team in implementing changes to data model
• Evaluate the data for integrity and accuracy; feedback and work with business and technical teams to backfill gaps , if any
• Leverage in-depth master data management and PIM knowledge combined with technical data analysis to gain significant insights to maintain and improve the master data.
• Support content syndication to all retail partners & channels (Brand.com integration , Retailer.com, TR, 3rd party product feeds)including basic product content, retailer attributes, images, 360 spins, videos and enhanced/A+ content, etc.
• Identify, track and report new data attributes across brands
• Summarize and report the work progress on daily basis customization

Success criteria

• Experience in programming with C# MVC, Visual Studio and .Net Core
• Experience in integrations using JSON, REST APIs
• Exposure to system integrations and concepts
• Exposure to APIs and data exchange format
• Experience analyzing large sets of data to glean insights around product information and product data structure
• Experience in working with relational databases and normalization of non-relational data technical teams working on backend, middleware or frontend platforms
• Ability to validate data integrity, completeness, and relevance to the business requirements
• Support technical and architectural changes in transforming product information while maintaining the data integrity and hierarchy structure.
• Exhibit curiosity and the desire to learn new tools and technologies; Tech savviness with an initiative to learn new software systems quickly
• Thrive in a fast-past, dynamic environment and prioritize work and time effectively
• Must be able to understand current and future state data models integrations, recommend changes based on the outcome of analysis performed
• Must be able to work independently
• Must have keen eye for details