Informatica/IICS

Responsibilities :

Lead end-to-end delivery of Informatica/IICS-based data integration solutions, from requirement analysis to production rollout.

Design scalable ETL architectures, integration patterns, and reusable components aligned to enterprise standards.

Develop, optimize, and maintain ETL workflows, mappings, and schedules to ensure accuracy, performance, and reliability.

Drive technical reviews, enforce best practices, and ensure adherence to SDLC, versioning, and release processes.

Troubleshoot complex data issues, perform root-cause analysis, and implement preventive monitoring and alerting.

Collaborate with stakeholders to translate business needs into technical specifications and delivery plans.

Mentor team members, support estimations, and contribute to sprint planning and delivery governance.

Ensure data quality and operational stability through validation checks, reconciliation, and documentation.

Additional Responsibilities:

5-9 years of overall experience with strong hands-on expertise in Informatica and IICS for enterprise data integration.

Strong experience in ETL development, optimization, and production support for data pipelines.

Ability to lead technical delivery, perform design reviews, and guide implementation across a team.

Solid understanding of data integration concepts, error handling, scheduling, and operational support practices.

Bachelor's or Master's degree (or equivalent) in Engineering/Technology/Computer Applications/Science (BE/BTech/MTech/MCA/MSc or equivalent). Preferred Qualifications:

Experience designing cloud-first integration solutions using IICS services (ingestion, transformation, orchestration) and reusable frameworks.

Proven track record leading multiple ETL deliverables, managing dependencies, and driving timely releases in agile teams.

Strong stakeholder management skills with the ability to communicate trade-offs, risks, and solution options clearly.

Experience improving pipeline performance through tuning, partitioning strategies, and efficient transformation design.

Exposure to data governance practices such as lineage, auditability, and operational controls for enterprise integrations. Good to have skills: SQL, Data Warehousing, Data Modeling, Cloud Platforms (AWS/Azure/GCP), CI/CD for Data Pipelines

Technical and Professional Requirements:

Primary skills:Technology- Data Management - Data Integration- Informatica,Technology- Data on Cloud - Datastore- Cloud based Integration Platforms- Informatica Intelligent Cloud services(IICS)