[High Salary] Systems Integration Analyst

2 days ago


Bengaluru India NTT Data Full time

Job Description 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: Technology Level of expertise. Priority Must Nice to have IDMC CAI Mid-level yes X IDMC CDI Mid-level yes X Azure Cloud Mid-level yes X Shellscript Junior X AWS Cloud X Python X Databricks X Insurance Knowledge X . 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



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