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We are looking for a Middle Automation QC Engineer to ensure the quality of our AI-powered data assistant. This tool is designed to help SAP users cleanse and validate massive amounts of data before it is imported into their SAP systems.

Your mission is to build an automation framework that can verify complex data processing logic, ensure the AI's validation rules are accurate, and stress-test the system to handle heavy data loads without failing.

Key Responsibilities

Automation Framework Building: Develop and maintain an automation testing framework (Web & API) to verify the data processing pipeline from upload to final validation.
Data Validation Testing: Create automated scripts to test complex "Clean & Validate" logic, ensuring the tool correctly identifies format errors, duplicates, and anomalies in data destined for SAP.
AI & Chatbot Testing: Implement test cases to evaluate the AI chatbot’s ability to assist users in data cleansing tasks and its accuracy in providing data insights.
Performance & Stress Testing: Conduct rigorous performance and stress tests to ensure the tool can process large-scale datasets (thousands of rows) efficiently and remain stable under high load.
Test Case Engineering & Review: Write detailed test cases for new data validation features and conduct code reviews for automation scripts to ensure high-quality, reusable test code.
End-to-End Verification: Ensure the "cleaned" data output meets the required standards and formats before it is ready for SAP integration.

Your Skills and Experience

Requirements & Qualifications

Experience: 2–4 years in Automation Testing. Experience testing Data-heavy applications or ETL tools is a significant advantage.
Automation Mastery: Hands-on experience with API testing (RESTful) and Web UI automation (Playwright, Selenium, or Cypress).
Performance Testing: Solid experience with performance tools like JMeter, K6, or Locust to simulate heavy data processing.
Logic-Driven Mindset: Excellent analytical skills to test complex validation rules and "edge cases" in enterprise data.
AI Curiosity: Interest in or experience with testing non-deterministic systems (LLMs, Chatbots).

Preferred Skills (Bonus)

Knowledge of common SAP data formats and business objects.
Experience with CI/CD pipelines (GitHub Actions, Jenkins) to automate test execution.
Background in data integrity or data quality assurance.

Why You'll Love Working Here

15 days of annual leaves
Competitive salary (+13-month salary include)
Health insurance, social insurance according to the government regulations
PVI Healthcare Insurance
Have a chance to work in an international, friendly, open environment
Annual Travel opportunity

Benefits

15 days of annual leaves
Competitive salary (+13-month salary include)
Health insurance, social insurance according to the government regulations
PVI Healthcare Insurance
Have a chance to work in an international, friendly, open environment
Annual Travel opportunity

Automation QC Engineer AI Data Cleansing Tool

Job Description

Benefits