ETL Data Engineer designing Informatica ETL pipelines and Hadoop workflows. Supporting SQL-driven reconciliation, data quality, BI reporting, and analytics solutions.
Responsibilities
Design, develop, and maintain scalable ETL pipelines and data integration solutions using Informatica
Develop data transformation and processing workflows across Hadoop and enterprise data environments
Write and optimize advanced SQL queries for data extraction, transformation, reconciliation, and analysis
Perform data reconciliation and validation to ensure data completeness, consistency, and accuracy across systems
Identify and resolve data quality, integration, and ETL performance issues
Support data requirements for Business Intelligence, reporting, and analytics platforms
Collaborate with business, data, and technical teams to translate requirements into reliable and scalable data solutions
Maintain comprehensive ETL documentation and ensure data pipelines adhere to established development, quality, and governance standards
Requirements
8+ years of hands-on experience in ETL development, Data Engineering, or enterprise data integration
Strong expertise in Informatica, with proven experience developing and maintaining ETL workflows and data pipelines
Hands-on experience working with Hadoop and large-scale data processing environments
Advanced SQL skills, with strong experience working with complex datasets and queries
Strong experience in data reconciliation, data validation, and data quality technologies
Experience working with Business Intelligence tools and supporting reporting and analytics requirements
Strong understanding of ETL architecture, data mapping, transformation, and data integration processes
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