QA Engineer (Data)

TL;DR

QA Engineer (Data): Testing of complex operational systems and data pipelines with an accent on backend services and ETL validation. Focus on validating data correctness using SQL, investigating root causes across the stack, and ensuring system integrity.

Location: Hybrid or Remote (Must be based in Kazakhstan)

Company

hirify.global is a global tech company providing ride-hailing, freight, and delivery services across 48 countries.

What you will do

• Perform deep manual testing of backend systems, ETL pipelines, and integrations.
• Validate data correctness using SQL across services, APIs, and storage layers.
• Design and maintain test cases and testing strategies for complex workflows.
• Investigate issues across the stack (logs, DBs, APIs) and isolate root causes.
• Collaborate with engineers and analysts to ensure data reliability and system integrity.
• Contribute to improving QA processes and testing coverage.

Requirements

• Strong experience in manual QA of backend or data-heavy systems.
• Solid SQL skills for data validation and debugging.
• Ability to reason about data flows, edge cases, and system behavior.
• Understanding of APIs, databases, and debugging tools.
• Comfortable working with logs and basic scripting (bash/zsh).
• Analytical thinking and a flexible, problem-solving mindset.

Nice to have

• Experience with ETL pipelines or data platforms.
• Some automation experience.
• Python for testing and/or data validation.
• Mobile testing (iOS/Android).
• Familiarity with Jira, Git, Allure, and test management tools.

Culture & Benefits

• Stable salary and official employment.
• Health insurance.
• Hybrid or remote work mode and flexible schedule.
• Access to professional counseling services (psychological, financial, and legal).
• Discount club membership.
• Diverse internal and partially or fully paid additional training courses.
• All necessary work equipment provided.