Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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У роли чёткий фокус на тестировании данных, подробно описанные задачи и хорошие возможности для развития; работа над клиентскими проектами может означать смену контекста чаще, чем в продуктовой команде.
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Актуальные технологииЧёткие задачиРазвитие и обучениеПроектная работа
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
QA / Test Engineer (Data Testing): Validating data processing, reconciliation results, ETL/ELT pipelines, and the functional reliability of data-intensive solutions with an accent on SQL-based validation, database transformations, and batch processing. Focus on designing representative test datasets, investigating defects, supporting UAT, and automating regression checks across high-volume data workflows.
Quento Technologies S.A. is the ICT arm of the hirify.global, delivering solutions across AI, Digital Engineering, Cloud, and Cybersecurity, with a presence in Greece, Luxembourg, and Belgium.
What you will do
Define test scenarios and acceptance validation approaches for reconciliation processes.
Validate ingestion, preprocessing, transformation, reconciliation, and source-to-target outputs against expected results.
Develop SQL validation queries and automated regression tests where appropriate.
Support integration, performance, functional, end-to-end, and UAT testing, as well as defect resolution.
Test batch processing, file validation, error handling, retries, and reprocessing.
Maintain testing evidence and contribute to delivery acceptance activities in compliance with regulatory requirements and the Group Anti-Bribery and Corruption Policy.
Requirements
University degree in Computer Science, Engineering, or a related field.
4+ years of professional experience in Software QA, Data Testing, or Test Engineering, including at least 2–3 years of hands-on experience in ETL/ELT testing, database testing, data validation, or comparable data-intensive projects.
Strong SQL skills for data comparison, reconciliation, and validation; experience with ETL/ELT pipelines, source-to-target mappings, and database transformations.
Experience performing data completeness, consistency, uniqueness, integrity, and reconciliation checks, including matching criteria, expected discrepancies, and exception handling.
Experience designing test cases, representative test datasets, and expected results.
Experience with defect investigation, evidence documentation, UAT support, and test automation or data testing frameworks.
Experience in data migration validation, billing systems, Revenue Assurance, financial reconciliation, or large-volume batch data processing.
Data-centric testing experience is essential; exclusive UI or frontend testing experience is not sufficient.
Relevant technologies include SQL, PostgreSQL, Oracle, SQL Server, Python, pytest, dbt tests, Apache Airflow, Informatica, Talend, SSIS, or equivalent database, ETL, and testing technologies.
Culture & Benefits
Competitive compensation, ticket restaurant card, and annual bonus programs.
Cutting-edge IT equipment, mobile and data plan, home equipment benefits, and a flexible hybrid working model.
Private health insurance, onsite occupational doctor, workplace counselor, modern facilities, free coffee and beverages, indoor parking, and company bus.
Onsite gym, wellness facilities, ping pong room, and regular wellbeing, ESG, and volunteering activities.
Career and talent development tools, mentoring, coaching, and a personalized annual learning and development plan.
Equal-opportunity workplace with consideration based only on ability and behavior.
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