Senior IDMC Developer

We are seeking a highly skilled and experienced Senior IDMC Developer to join our data engineering team. The ideal candidate will be responsible for designing, developing and implementing data integration solutions using Informatica Intelligent Data Management Cloud (IDMC) services. This role requires strong technical expertise in cloud integration, mapping design, process optimisation, and a collaborative approach to working with cross functional teams.

• Development & Implementation – Design, develop and implement robust data integration solutions utilizing Informatica IDMC services including Cloud Data Integration (CDI) and Cloud Application Integration (CAI).
• Mapping & Workflow Design – Build efficient and reusable mappings, task flows and process objects in accordance with best practices to ensure optimal performance and maintainability.
• Integration with Cloud & SaaS – Develop and implement integrations with leading cloud platforms such as AWS, Azure and GCP, SaaS applications and modern data warehouses like Snowflake or Databricks.
• Troubleshooting & Optimisation – Perform comprehensive debugging, error handling and optimisation of data pipelines to ensure scalability, reliability and high performance.
• Collaboration & Documentation – Work closely with solution architects and business analysts to translate business requirements into effective technical solutions, ensuring thorough and clear documentation of all implementations and processes.
• Quality & Compliance – Adhere strictly to data governance frameworks, security protocols and compliance standards throughout the development lifecycle.

• 6-8 years of overall experience in ETL/Data Integration.
• 2-3 years of hands‑on experience with Informatica IDMC or IICS.
• Extensive hands‑on experience with Informatica IDMC, including CDI and CAI modules.
• Strong expertise in designing mappings, task flows and process objects for data integration projects.
• Proven track record of integrating with major cloud platforms (AWS, Azure, GCP), SaaS applications and data warehouse solutions (e.g., Snowflake, Databricks).
• Demonstrated ability to troubleshoot, debug and optimise complex data pipelines.
• Excellent communication, documentation and collaboration skills.
• Sound understanding of data governance, security and compliance best practices.