Design, develop, and maintain ETL/ELT pipelines using Informatica Cloud (IICS)
Develop and manage data integration workflows, mappings, and taskflows
Integrate data from multiple sources including databases, cloud platforms, APIs, and flat files
Perform data transformation, cleansing, and validation using IICS components
Work with Cloud Data Integration (CDI) and Application Integration (CAI) services
Design reusable mappings and parameterized workflows
Optimize workflows for performance, scalability, and efficiency
Troubleshoot and resolve data integration issues
Ensure data quality, governance, and security standards
Collaborate with business stakeholders, data architects, and analysts
Support migration from on-prem Informatica (PowerCenter) to IICS (if applicable)

Experience with Application Integration (CAI) in IICS
Exposure to REST/SOAP APIs and web services integration
Knowledge of Informatica PowerCenter (for migration projects)
Familiarity with CI/CD pipelines and version control (Git)
Experience with data quality and data governance solutions
Exposure to big data or cloud data warehouses (Snowflake, BigQuery, Redshift)
Scripting knowledge in Python or Shell is an advantage
Bachelor's degree in Computer Science, IT, or related field
Informatica certifications (IICS / Cloud Data Integration) are a plus

Strong hands-on experience with Informatica Intelligent Cloud Services (IICS)
Expertise in Cloud Data Integration (CDI)
Strong knowledge of ETL concepts and data integration techniques
Proficiency in SQL and relational databases (Oracle, SQL Server, etc.)
Experience with data transformation, mappings, and taskflows
Knowledge of parameterization, reusable components, and workflows
Familiarity with cloud platforms (AWS / Azure / GCP is a plus)
Understanding of data warehousing concepts (star/snowflake schema)
Experience with error handling, logging, and monitoring

We are looking for a skilled IICS Developer (Informatica Intelligent Cloud Services) with 3-5 years of experience in cloud-based data integration and ETL development. The ideal candidate should have strong experience in IICS, data integration, and cloud-based data pipelines, along with a solid understanding of data warehousing and transformation concepts.