SAP CPI-DS Consultant

Overview

On Site
Depends on Experience
Contract - W2
Contract - Independent
Contract - 24 Month(s)

Skills

SAP
CPI
IBP
BODS
HANA

Job Details

SAP CPI-DS Consultant
Santa Clara, CA
Long Term
Note: Looking for permanent residents.
Education: Bachelor s degree in Computer Science, Information Technology, or a related field. Relevant certifications in SAP CPI-DS.

Experience: Minimum of 5 years of experience in data integration using SAP Cloud Platform Integration - Data Services (CPI-DS).

Technical Skills:
Proficiency in SAP CPI-DS configuration and implementation.
Experience with IBP ecosystem and Integration.
Strong understanding of data integration concepts, data mapping, and transformation.
Experience with SAP ERP systems and other relevant SAP modules.
Knowledge of APIs, web services, and other integration technologies.
Strong problem-solving skills with the ability to analyzecomplex data integration issues.
Excellent verbal and written communication skills, with the ability to explain technical concepts to non-technical stakeholders.
Ability to work collaboratively in a fast-paced environment and manage multiple priorities effectively.

Preferred Skills:
Experience with SAP Data Intelligence or SAP HANA is a plus.
Familiarity with cloud-based integration platforms and services.
Knowledge of scripting languages such as JavaScript or Python

Key Responsibilities:
Integration Design: Design and develop data integration solutions using SAP Cloud Platform Integration - Data Services (CPI-DS) to meet business requirements.
Implementation: Implement and configure CPI-DS solutions, including data flows, mappings, and transformations.
Troubleshooting: Diagnose and resolve issues related to data integration processes, ensuring minimal disruption to business operations.
Performance Optimization: Monitor and optimize the performance of data integration processes to ensure efficiency and reliability.
Documentation: Create and maintain detailed documentation for data integration processes, including design specifications and operational procedures.
Collaboration: Work closely with other teams, such as data architects, business analysts, and developers, to ensure seamless integration of data services with existing systems.
Support: Provide technical support and guidance to end-users and other stakeholders regarding CPI-DS functionalities and best practices.
Updates and Upgrades: Stay up-to-date with the latest CPI-DS features and updates, and ensure that integration solutions leverage the latest technologies and improvements.
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