Systems Integration Analyst

Job Title: IDMC CAI Developer

Seniority: 3

OffShore

Profile Summary:

IDMC CAI Developer will be responsible for designing, developing, and deploying cloud-based application integrations using Informatica Intelligent Data Management Cloud (IDMC) – Cloud Application Integration (CAI). The ideal candidate brings deep expertise in API development, real-time integrations, and enterprise-grade orchestration patterns. You will collaborate closely with solution architects, business analysts, and other developers to deliver seamless data flows across cloud and on-premise systems. A strong understanding of integration design principles, error handling, and performance optimization is essential.

List of Key Responsibilities:

• Design and implement integration flows using IDMC CAI, supporting real-time and batch data processes.
• Develop and manage REST/SOAP APIs, event-driven services, and process orchestration workflows.
• Collaborate with cross-functional teams to translate integration requirements into scalable and maintainable solutions.
• Configure and maintain connections to various applications and services across cloud and on-prem environments.
• Implement robust error handling, logging, and monitoring mechanisms to ensure integration reliability and traceability.
• Optimize performance and troubleshoot complex integration issues.
• Contribute to best practices, coding standards, and documentation for integration assets.
• Support production deployments and provide post-implementation support as needed.
• Work with cloud-based technologies, primarily Azure Cloud, and occasionally AWS Cloud, to deploy and manage data solutions.
• Utilize Azure DevOps for version control, continuous integration, and deployment of data-related artifacts.
• Collaborate with the data architecture team to design and develop data models, ensuring efficient data storage and retrieval.
• Stay updated with Informatica IDMC feature releases and evaluate their applicability to ongoing projects.
• Stay up-to-date with emerging data engineering trends, technologies, and best practices, and propose their integration when relevant.

Technical Knowledge:

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1. Entry-level: This refers to individuals who are just starting their careers or have less than 2 years of experience in the field.
2. Junior: Typically, this level represents professionals with 2-4 years of experience in the technology.
3. Mid-level: This level indicates individuals with 5-8 years of experience and who have developed a solid foundation of knowledge and skills in their specific area of expertise.
4. Senior: Senior professionals typically have 8-10+ years of experience and possess advanced knowledge, expertise, and leadership capabilities within their field.
5. Expert: This level represents professionals who are recognized as industry experts and have extensive experience of 10+ years. They are considered authorities in their field and often contribute to the advancement and development of technology through research, innovation, and leadership.

List of Used Tools:

•         Informatica Data Management Cloud – Cloud Application Integration

•         Informatica Data Management Cloud – Cloud Data Integration

•         Azure Cloud

•         Shellscript

•         SQL

•         AWS Cloud is a plus

•         Python is a plus

•         Insurance Knowledge is a plus