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
