About Us At Virtusa, every innovator has the potential to transform and lead in a digital world—but unlocking that potential takes more than technology; it takes a trusted partner who combines engineering excellence, creativity, and an AI-first mindset. Together, we co-create solutions that help businesses grow faster, operate smarter, and make experiences better with technology. Job Description This is a remote position. We are seeking a detail-oriented and analytical Data QA Engineer to join our data engineering team. In this role, you will play a vital part in ensuring the accuracy, consistency, and reliability of our enterprise data platform. You will design, develop, and execute end-to-end test strategies for data pipelines, perform comprehensive data warehouse testing in Snowflake, and drive data reconciliation processes across disparate systems. Requirements 4+ years of dedicated experience in ETL testing, data pipeline validation, and Data Warehouse QA. Strong hands-on experience querying, testing, and navigating a Snowflake data warehouse environment. Exceptional SQL skills, including expertise in complex joins, window functions, CTEs, subqueries, and set operations to compare large datasets efficiently. Proven experience designing data reconciliation workflows, source-to-target validation scripts, and data auditing routines. Clear understanding of data architecture, dimensional modeling (Star Schema, Snowflake Schema), and data file formats (JSON, Parquet, CSV, XML). Excellent problem-solving skills with high attention to detail when analyzing large, complex datasets. Communicative English
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