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описание
Avenga is an international engineering firm that helps businesses operate with AI at the core. With 6,000+ experts worldwide, it combines engineering expertise with AI-native thinking to turn ambitious ideas into real-world impact across industries, technologies, and markets.
задачи
Review requirements and ensure they are testable
Create and execute manual and automated test plans
Test ETL processes, data pipelines, transformations, and outputs
Perform data validation, schema checks, and source-to-target reconciliation
Conduct end-to-end testing of new features and pipeline changes
Perform staging and release validation
Own QA activities throughout the development lifecycle
Identify, report, and track defects through resolution
Analyze test results and prepare QA reports
Identify opportunities to improve QA processes and automation
Collaborate closely with Product Owners and Data Engineers
требования
3–5+ Years of QA experience, preferably in data engineering or ETL testing
Strong SQL skills
Working knowledge of Python for data validation and test automation
Experience testing data pipelines and ETL processes
Knowledge of data quality checks, schema validation, and source-to-target reconciliation
Experience with test automation and automation infrastructure
Strong understanding of Agile, SDLC, and defect lifecycle
Strong analytical and root-cause analysis skills
Excellent English communication skills
Practical experience using AI coding/testing tools
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