ETL Developer - Informatica Power Center (Karnataka)

- Detail-oriented ETL Developer with hands-on experience in Informatica PowerCenter, SQL, and Unix , responsible for designing, developing, and maintaining scalable data integration solutions. Skilled in data warehousing concepts, ETL processes, and performance optimization , with working knowledge of Python for automation and data processing . Design, develop, and implement ETL solutions using Informatica PowerCenter - Create and maintain mappings, workflows, and sessions - Build reusable components and transformations Extract data from multiple sources such as: Develop and optimize complex SQL queries Perform data analysis, validation, and reconciliation Write stored procedures, joins, and subqueries Responsibilities Detail-oriented ETL Developer with hands-on experience in Informatica PowerCenter, SQL, and Unix , responsible for designing, developing, and maintaining scalable data integration solutions. Skilled in data warehousing concepts, ETL processes, and performance optimization , with working knowledge of Python for automation and data processing . Design, develop, and implement ETL solutions using Informatica PowerCenter Create and maintain mappings, workflows, and sessions Build reusable components and transformations Extract data from multiple sources such as: Develop and optimize complex SQL queries Perform data analysis, validation, and reconciliation Write stored procedures, joins, and subqueries Qualifications Detail-oriented ETL Developer with hands-on experience in Informatica PowerCenter, SQL, and Unix , responsible for designing, developing, and maintaining scalable data integration solutions. Skilled in data warehousing concepts, ETL processes, and performance optimization , with working knowledge of Python for automation and data processing . Design, develop, and implement ETL solutions using Informatica PowerCenter Create and maintain mappings, workflows, and sessions Build reusable components and transformations Extract data from multiple sources such as: Develop and optimize complex SQL queries Perform data analysis, validation, and reconciliation Write stored procedures, joins, and subqueries