Job Summary
Serve as a Technology Architect with a focus on S4 HANA UI5 ABAP OData and S4 HANA Data Modeling designing scalable and secure solutions for enterprise grade systems in a hybrid work model. Apply deep experience to optimize data structures and services that power merchandising processes ensuring resilient performance maintainability and alignment with business goals.
Responsibilities
- Design and architect end to end solutions on S4 HANA using UI5 ABAP OData and advanced data modeling to meet complex business requirements in a scalable and sustainable manner.
- Develop and optimize ABAP OData services and UI5 application interfaces to deliver highly responsive and intuitive user experiences tailored to enterprise workflows.
- Configure model and refine S4 HANA data structures including CDS views associations and annotations to ensure accurate reporting and analytics for critical business operations.
- Collaborate with functional experts and product teams to translate merchandising and supply chain scenarios into robust technical designs that align with enterprise standards.
- Review existing custom solutions and core integrations to identify performance bottlenecks and implement tuning strategies that improve throughput and system stability.
- Coordinate with basis and infrastructure teams to validate technical feasibility performance baselines and capacity planning for new and enhanced S4 HANA components.
- Implement secure coding and data handling practices within ABAP OData and UI5 developments to protect sensitive information and comply with organizational policies.
- Prepare detailed technical specifications including interface contracts data models and deployment steps that enable consistent implementation by development teams.
- Perform impact analysis for change requests and upgrades to ensure that S4 HANA customizations and data models remain compatible with evolving system landscapes.
- Conduct rigorous unit and integration testing of S4 HANA objects and UI5 applications to verify functional correctness and resilience under realistic business loads.
- Mentor peers in advanced topics such as S4 HANA data modeling ABAP OData optimization and UI5 best practices to uplift overall technical maturity within the team.
- Engage with stakeholders to demonstrate solutions gather feedback and refine designs so that outcomes deliver measurable value for business operations.
- Document solution architectures reusable patterns and configuration guidelines so future initiatives can leverage proven practices and reduce delivery risk.
Qualifications
- Possess extensive hands on experience in S4 HANA with strong expertise in UI5 ABAP OData development and advanced data modeling gained over ten to twelve years in complex environments.
- Demonstrate solid understanding of S4 HANA data architecture including CDS views data exposure mechanisms and performance optimization techniques for large datasets.
- Apply practical experience in designing and maintaining enterprise grade integration scenarios connecting S4 HANA with surrounding applications through standardized interfaces.
- Leverage knowledge of merchandising or retail processes to shape technical solutions that support pricing assortment inventory and promotion driven workflows where applicable.
- Utilize proven ability to analyze requirements estimate effort and plan solution approaches suitable for a hybrid work model with distributed teams.
- Exhibit strong communication and collaboration capabilities that support effective interaction with cross functional partners across technology and business domains.
- Show readiness to stay current with S4 HANA platform innovations UI5 evolution and emerging design patterns so that solutions continue to reflect modern engineering practices.
À propos de Cognizant
Cognizant (NASDAQ : CTSH) est un AI Builder et une entreprise de services numériques (ESN) élaborant des solutions complètes d’IA maximisant les investissements pour des résultats concrets. Sa profonde expertise des métiers, des processus et des technologies lui permet d’intégrer dans les systèmes technologiques le contexte unique de chaque organisation de l’ingénierie à la production à l’échelle. Son objectif : améliorer l’efficacité des équipes, créer de la valeur et permettre aux grandes entreprises de rester performantes dans un monde qui évolue rapidement. Pour en savoir plus : cognizant.ai ou @cognizant.
Renseignments suppplémentaires sur l'emploi
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