Design, develop, and implement data integration pipelines using IDMC
Work with Cloud Data Integration (CDI) for ETL/ELT workflows
Develop and maintain mappings, mappings tasks, and taskflows
Integrate data from various sources including databases, cloud platforms, flat files, and APIs
Implement data transformation, cleansing, and validation rules
Work with Data Quality (CDQ) components for profiling and standardization
Optimize jobs for performance, scalability, and reliability
Monitor and troubleshoot data pipelines and workflows
Ensure adherence to data governance, security, and compliance standards
Collaborate with architects, analysts, and business stakeholders
Support migration from PowerCenter or legacy ETL tools to IDMC

Experience with Application Integration (CAI) in IDMC
Exposure to API integrations (REST/SOAP)
Knowledge of Master Data Management (MDM) concepts
Familiarity with CI/CD pipelines and version control tools (Git, Jenkins)
Experience with big data/cloud data platforms (Snowflake, BigQuery, Redshift)
Basic scripting knowledge (Python, Shell scripting)
Experience with data governance and lineage tools
Bachelor's degree in Computer Science, IT, or a related field
Informatica certifications (IDMC / IICS / CDI / CDQ) are a plus

Strong experience with Informatica Data Management Cloud (IDMC)
Hands-on expertise in:
Cloud Data Integration (CDI)
Data Quality (CDQ)
Strong understanding of ETL/ELT concepts and data integration techniques
Proficiency in SQL and relational databases (Oracle, SQL Server, MySQL, etc.)
Experience with mappings, taskflows, parameters, and reusable objects
Knowledge of data validation, profiling, and cleansing techniques
Familiarity with cloud environments (AWS / Azure / GCP)
Understanding of data warehousing concepts (star and snowflake schemas)
Experience in error handling, logging, and performance tuning

We are seeking a skilled IDMC Developer with 3-5 years of experience in cloud-based data integration and data management using Informatica Data Management Cloud (IDMC). The ideal candidate should have hands-on experience in data integration, data quality, and cloud data services, along with strong knowledge of modern data engineering practices.