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# SAP Event Mesh, Cloud Platform Integration (CPI)
# India Remote
Fixed term Contract
Area of Expertise
About the Role :
Job title : : SAP Event Mesh, Cloud Platform Integration (CPI)
Job Location : India Remote
Looking for Candidates who can join in Immediate to 1 month Notice
Key Responsibilities
- Cloud Integration (CPI) :
- Design, configure, and deploy integration flows (iFlows) for A2A, B2B, and hybrid scenarios.
- Implement message mapping, request-reply patterns, and orchestration techniques.
- Ensure robust error handling and monitoring for integration processes.
- API Management :
- Develop, secure, and govern APIs using SAP API Management.
- Apply policy enforcement, traffic management, and API monetization strategies.
- Event-Driven Architecture :
- Design and implement reactive integrations leveraging SAP Event Mesh for real-time event streaming and asynchronous communication.
- Enable time-sensitive processes through event-driven patterns.
- Open Connectors :
- Integrate third-party applications using SAP Open Connectors and prebuilt connectors.
- Work with RESTful APIs, JSON payloads, and bulk data operations.
- Integration Advisory & Assessment :
- Utilize Integration Solution Advisory Methodology (ISA-M) to define integration strategies.
- Conduct migration assessments from SAP Process Orchestration to SAP Integration Suite.
- Additional Responsibilities :
- Create and manage workspaces;
organize integration assets by domains.
Implement migration accelerators for smooth transition projects.Perform capacity management and optimize resource utilization.Collaborate on data integration initiatives involving Databricks.Required Skills & Qualifications
Strong hands-on experience with SAP Integration Suite , CPI , and Event Mesh .Proficiency in API design, security, and governance.Knowledge of event-driven architecture and asynchronous messaging.Familiarity with SAP Open Connectors and third-party integration.Experience with ISA-M methodology and migration strategies.Understanding of cloud-based integration patterns and hybrid landscapes.Exposure to Databricks and data engineering concepts is a plus.