Informatica/IICS

Good to have skills: SQL, Data Warehousing, Data Modeling, API Integration, Data Quality

Key Responsibilities:

• Lead end-to-end delivery of data integration solutions using Informatica and IICS, from requirement discovery through deployment and support.
• Design, develop, and optimize ETL/ELT workflows, mappings, and orchestration to meet performance, scalability, and reliability goals.
• Collaborate with architects, analysts, and business stakeholders to translate functional requirements into technical designs and implementation plans.
• Drive best practices for reusable frameworks, parameterization, error handling, logging, and monitoring across integration pipelines.
• Perform impact analysis, root-cause troubleshooting, and production support for integration failures and data quality issues.
• Ensure adherence to delivery standards including code reviews, documentation, release management, and operational readiness.
• Mentor and guide developers, providing technical leadership on Informatica/IICS patterns, performance tuning, and delivery execution.
• Coordinate with cross-functional teams to manage dependencies, timelines, risks, and stakeholder communication for integration initiatives. Minimum Qualifications:
• Bachelor's or Master's degree in Engineering/Computer Applications/Science (BTECH, MTECH, MCA, MSC) or equivalent.
• 9–11 years of overall experience with strong hands-on expertise in Informatica and IICS implementations.
• Proven experience delivering ETL solutions, including development, testing, deployment, and production support.
• Strong understanding of data integration concepts, transformation logic, scheduling/orchestration, and operational support practices.
• Ability to lead technical discussions, produce clear documentation, and collaborate effectively with stakeholders. Preferred Qualifications:
• Experience leading cloud-based integration programs using Informatica Cloud, including migration/modernization initiatives.
• Strong capability in designing scalable integration architectures, reusable components, and standardized ETL frameworks.
• Exposure to performance tuning techniques for complex mappings, large-volume loads, and incremental processing patterns.
• Experience implementing robust operational controls such as audit reconciliation, restartability, and proactive monitoring/alerting.
• Demonstrated leadership in mentoring teams, driving delivery governance, and improving engineering practices across projects.