Data QA Engineer

Responsibilities

• Validate ETL mappings, workflows, and transformations to ensure compliance with business and technical requirements
• Perform source-to-target validation using SQL-based data checks to verify completeness, accuracy, and integrity
• Execute ETL test cycles, including data-quality checks for both full and incremental data loads
• Lead defect triage sessions and facilitate communication among development, business, and QA teams
• Utilize Informatica PowerCenter for ETL validation, debugging, and workflow monitoring
• Leverage Python and AI expertise to support automation, data validation, and advanced testing scenarios
• Use Unix/Linux commands for job monitoring, log analysis, and operational support
• Support integrated testing by creating and maintaining test data, training data, and automated scripts

Requirements

• Bachelor's Degree in IT, Business, Computer Science, or a related field
• 5 to 8 years of experience in Software Quality Assurance
• Expertise in Informatica PowerCenter with strong ETL validation and troubleshooting capabilities
• Extensive experience with ETL concepts, Data migration testing, Data warehouse testing, and BI Reporting
• Proficiency in data automation using Python
• Advanced SQL skills, including writing complex queries in Azure Databricks to compare source and target databases
• Experience working in fast-paced Agile and Waterfall environments
• Proficiency in relational database models, SQL queries, and XML data models
• Experience with Atlassian tools such as Jira and Confluence

Preferred Qualifications

• Experience in the finance industry is highly desirable

About the Company

Luxoft is a global provider of software engineering services, helping leading enterprises accelerate their digital transformation through high-quality technical solutions and expertise.