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Informatica Developer

12 days ago 2026/06/30
Other Business Support Services
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Job description

Roles and Responsibilities

Design, develop, and maintain ETL workflows using Informatica PowerCenter
Create and enhance mappings, transformations, sessions, and workflows
Perform data extraction, transformation, and loading from multiple sources
Optimize ETL performance and ensure efficient data processing
Apply data validation, cleansing, and reconciliation rules
Handle job scheduling, monitoring, and troubleshooting of ETL failures
Work with large volumes of data across multiple database platforms
Collaborate with business analysts and data architects to translate business requirements into technical solutions
Ensure data accuracy, integrity, and compliance with standards
Prepare technical documentation and support production deployments



Additional Responsibilities

Exposure to Informatica IICS or cloud data platforms
Experience with Snowflake, Azure, AWS, or GCP
Knowledge of shell scripting and basic automation
Informatica certification(s)
Experience working in Agile / Scrum environments



Technical Requirements

* Primary skills:Technology->Informatica ETL Developer->SmartCo ETL Developer
5-8 years of overall experience in ETL / data integration
Strong hands-on experience with Informatica PowerCenter
Solid understanding of ETL concepts, data warehousing, and data modeling
Strong SQL and database skills (Oracle, SQL Server, DB2, etc.)
Experience with UNIX/Linux scripting
Knowledge of performance tuning, troubleshooting, and error handling
Experience with batch processing and scheduling
Familiarity with deployment, migration, and support activities
Strong analytical and communication skills



Job Description

We are looking for an experienced Informatica Developer to design, develop, and maintain robust ETL solutions for enterprise data integration and data warehousing needs. The ideal candidate will have strong hands-on experience with Informatica PowerCenter, excellent SQL skills, and a solid understanding of data integration best practices.


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