Sap Ewm Consultant

Project Role : Technology Architect Project Role Description : Review and integrate all application requirements, including functional, security, integration, performance, quality and operations requirements. Review and integrate the technical architecture requirements. Provide input into final decisions regarding hardware, network products, system software and security. Must have skills : SAP EWM Good to have skills : SAP HANA Cloud Minimum 3+ year(s) of experience is required Educational Qualification : 15 years full time education Summary: As a Technology Architect, you will review and integrate all application requirements, including functional, security, integration, performance, quality, and operations requirements. You will also review and integrate the technical architecture requirements, providing input into final decisions regarding hardware, network products, system software, and security. In this role, you will contribute to the overall success of the project by ensuring the seamless integration of various application and technical requirements. Your expertise and insights will play a crucial role in shaping the architecture and ensuring its effectiveness and efficiency. Roles & Responsibilities: - Expected to be an SME, collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Contribute to the review and integration of all application requirements. - Integrate the technical architecture requirements. - Provide input into final decisions regarding hardware, network products, system software, and security. - Ensure the seamless integration of various application and technical requirements. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP EWM. - Good To Have Skills: Experience with SAP HANA Cloud. - Strong understanding of statistical analysis and machine learning algorithms. - Experience with data visualization tools such as Tableau or Power BI. - Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity.