IICS

• Primary skills:Technology->Data on Cloud - Datastore->Cloud based Integration Platforms->Informatica Intelligent Cloud services(IICS)
• Gather and analyze integration requirements, source-to-target mappings, and data transformation rules with business and technical teams.
• Develop, configure, and maintain IICS mappings, tasks, and workflows for cloud data integration use cases.
• Implement data extraction, transformation, and loading processes with strong focus on data quality, consistency, and auditability.
• Perform unit testing, integration testing, and support UAT by troubleshooting issues and refining mappings.
• Monitor scheduled jobs, handle failures, perform root-cause analysis, and provide timely production support.
• Optimize performance by tuning mappings, reducing latency, and improving job reliability and throughput.
• Maintain technical documentation including design notes, mapping logic, deployment steps, and operational runbooks.
• Collaborate with cross-functional teams to align integration solutions with security, governance, and delivery standards.

Minimum Qualifications:

• Bachelor’s or Master’s degree (or equivalent) in Engineering, Computer Science, MCA, MTech, MSc, BTech, or related field.
• 2–3 years of hands-on experience in IICS and cloud data integration / Informatica Cloud Data Integration.
• Strong understanding of ETL/ELT concepts, data transformations, and integration patterns.
• Experience working with source-to-target mappings, data validation, and troubleshooting integration failures.
• Ability to work in a client-facing, delivery-oriented environment with clear communication and ownership mindset. Preferred Qualifications:
• Experience designing reusable IICS components and implementing standards for naming, error handling, and logging.
• Exposure to cloud-based data platforms and integrating across multiple systems and data sources.
• Familiarity with release/deployment practices, change management, and supporting production workloads.
• Ability to translate business requirements into scalable integration designs and provide effort estimates.
• Proven track record of improving job performance, stability, and data quality through tuning and proactive monitoring. Good to have skills: SQL, Data Warehousing concepts, REST APIs, Unix/Linux basics, Data Quality & validation techniques