System Engineer

Summary :

System Analyst, Product Information Management inriver - Solutions Engineer / Systems Engineer

Key Must Haves :

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

Skills Required :

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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