
10,000+ employees
Founded 1996
💼 Consulting
🏢 Enterprise
🤖 Artificial Intelligence
💰 $108M Post-IPO Equity - Virtusa on 2017-05
Consulting • Enterprise • Artificial Intelligence
Virtusa is a global technology services and consulting company that helps enterprises reimagine their business through digital engineering, AI-driven and domain-focused solutions. It offers consulting, design, engineering, automation, analytics and optimization services, and partners with organizations across banking & financial services, communications, healthcare, insurance, retail, manufacturing and other industries to deliver enterprise-scale technology and AI solutions. Virtusa emphasizes AI services, domain-driven solutions for the AI enterprise, and end-to-end digital transformation.
🔥 0 minutes ago
🇵🇱 Poland – Remote
💵 zł22.5k - zł24.8k / month
⏰ Full Time
🟡 Mid-level
🟠 Senior
🔧 QA Engineer (Quality Assurance)
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10,000+ employees
Founded 1996
💼 Consulting
🏢 Enterprise
🤖 Artificial Intelligence
💰 $108M Post-IPO Equity - Virtusa on 2017-05
Consulting • Enterprise • Artificial Intelligence
Virtusa is a global technology services and consulting company that helps enterprises reimagine their business through digital engineering, AI-driven and domain-focused solutions. It offers consulting, design, engineering, automation, analytics and optimization services, and partners with organizations across banking & financial services, communications, healthcare, insurance, retail, manufacturing and other industries to deliver enterprise-scale technology and AI solutions. Virtusa emphasizes AI services, domain-driven solutions for the AI enterprise, and end-to-end digital transformation.
• Design, develop, and execute end-to-end test strategies for data pipelines • Perform comprehensive data warehouse testing in Snowflake • Drive data reconciliation processes across disparate systems • Ensure the accuracy, consistency, and reliability of the enterprise data platform
• 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 complex joins, window functions, CTEs, subqueries, and set operations • Experience designing data reconciliation workflows, source-to-target validation scripts, and data auditing routines • Understanding of data architecture and dimensional modeling, including Star Schema and Snowflake Schema • Knowledge of JSON, Parquet, CSV, and XML data file formats • Excellent problem-solving skills and high attention to detail when analyzing large, complex datasets • Communicative English
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