Informatica/IICS

Responsibilities :

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.

Additional Responsibilities:

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.

Technical and Professional Requirements:

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