SAP Developer Data Hub

Solution Architecture and Design Experience in solution design handling several huge Data transformation projects, mainly with Informatica suite of tools. This expertise is key in defining Technical Design based on available data patterns. Interact with business user to elicit architectural and non-functional requirements like performance, scalability, reliability, availability, maintainability Identify the expected data volume and user volume Scope the availability of infrastructures like server space and database availability Identify different interfaces of the application: upstream and downstream Understand Data Distribution Hub (DDH) model and identify the Common Formats that best suits the interfaces to publish the data. Develop POC (Proof of concept) for proposed technology options and check for feasibility Creation of FMD (Function Mapping documents) for different interfaces Development and Delivery Experience in Informatica Power Center. Development of mappings and workflows based on low level design Unit test using Infosys internal tool for data integrity Involve in technical discussions for all the critical interfaces in the project Ensure Infosys delivery with SLA compliance and Clients stakeholders satisfaction Coordination with offshore team for development and perform code reviews Test the POC for different scenarios like data volume, user volume and user experience ING

Requirements

Experience in Informatica Power Center. Development of mappings and workflows based on low level design Unit test using Infosys internal tool for data integrity Involve in technical discussions for all the critical interfaces in the project Ensure Infosys delivery with SLA compliance and Clients stakeholders satisfaction Coordination with offshore team for development and perform code reviews Test the POC for different scenarios like data volume, user volume and user experience ING

xperience in solution design handling several huge Data transformation projects, mainly with Informatica suite of tools. This expertise is key in defining Technical Design based on available data patterns. Interact with business user to elicit architectural and non-functional requirements like performance, scalability, reliability, availability, maintainability Identify the expected data volume and user volume Scope the availability of infrastructures like server space and database availability Identify different interfaces of the application: upstream and downstream Understand Data Distribution Hub (DDH) model and identify the Common Formats that best suits the interfaces to publish the data. Develop POC (Proof of concept) for proposed technology options and check for feasibility Creation of FMD (Function Mapping documents) for different interfaces