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About the role
About The Opportunity A top-tier IT staffing and digital transformation partner serving leading enterprises across BFSI, Telecom, and Manufacturing sectors in India, we specialize in deploying high-impact data engineering talent to build scalable, governed, and cloud-ready data ecosystems. Our clients rely on us to deliver certified, production-grade Informatica solutions—from legacy migration to real-time CDC pipelines—that drive analytics, compliance, and operational excellence at scale. Role & Responsibilities Design, develop, and maintain complex ETL workflows using Informatica PowerCenter and Cloud Data Integration (CDI) for hybrid and cloud data environments. Build and optimize mappings, sessions, and workflows to process high-volume transactional and analytical datasets across Oracle, SQL Server, Snowflake, and Hadoop. Collaborate with data architects to implement data warehousing standards, dimension models, and lineage documentation aligned with enterprise governance. Configure and manage Informatica repositories, security roles, and monitoring dashboards to ensure SLA adherence and system health. Troubleshoot performance bottlenecks in ETL jobs, tune SQL transformations, and automate error handling using workflow variables and alerts. Support migration initiatives from legacy ETL tools (e.g., DataStage, Talend) to Informatica platform with zero data loss and minimal downtime. Skills & Qualifications Must-Have Informatica PowerCenter Informatica Cloud Data Integration (CDI) SQL Oracle ETL Development Data Warehousing Source Control (Git/SVN) Windows/Linux Preferred Informatica IDQ (Data Quality) Snowflake or Databricks REST API integration with ETL jobs Benefits & Culture Highlights Work on flagship digital transformation projects for Fortune 500 clients in India's top tech hubs. Access to certified training and Informatica partner ecosystem for career growth. On-site collaborative environment with agile teams and client-facing exposure from day one. Skills: data warehousing,data integration,etl,data,cloud
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