The ideal candidate will have a minimum of 5 years of hands-on experience in implementing, developing, and maintaining a wide range of IICS solutions.

This role requires a deep understanding of cloud-based data integration principles, a proven track record of successful project delivery, and the ability to work with complex data architectures.

Responsibilities :

- Design & Development : Lead the design and development of robust data integration solutions using various IICS services

- Cloud Data Integration (CDI) : Creating and managing mappings, tasks, and data flows.

- Cloud Application Integration (CAI) : Building and deploying real-time integrations and APIs.

- Cloud Mass Ingestion : Configuring and monitoring data ingestion tasks for large volumes of data.

- System Architecture : Collaborate with architects and business stakeholders to translate business requirements into technical specifications and design scalable IICS-based solutions.

- Performance Optimization : Analyze and tune IICS mappings and tasks for optimal performance, especially when dealing with large datasets and complex transformations.

- Deployment & Support : Manage the end-to-end deployment of IICS projects, including code promotion, environment setup, and post-implementation support.

- Data Governance & Security : Ensure all data integration processes adhere to data governance policies, security standards, and best practices.

Required Qualifications :

- Experience : 6+ years of hands-on, professional experience in implementing and developing solutions with Informatica Intelligent Cloud Services (IICS).

- Certification : Mandatory certification in Informatica IICS, such as the Informatica Certified Professional in Cloud Data Integration. Other relevant certifications (e.g., Cloud Application Integration) are a plus.

Technical Skills :

- Extensive experience with IICS components (CDI, CAI, Cloud Mass Ingestion).

- Strong proficiency in SQL and hands-on experience with relational databases (e.g., Oracle, SQL Server, Snowflake).

- Experience with various connectors and endpoints, including REST APIs, SOAP, and cloud data warehouses (e.g., Amazon S3, Azure Blob Storage).

- Working knowledge of data warehousing concepts, ETL/ELT methodologies, and data modeling