QA Engineer - AI/ML
CGI (company site, opens in a new tab)5–7 yrsBengaluruOn-siteDirect career pageEst. 12–20 LPA
Posted on 11 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and execute comprehensive data validation, reconciliation, and pipeline testing strategies across complex ETL architectures.
- Develop and maintain automation frameworks using Robot Framework, Python (pandas, PySpark, NumPy), and complex SQL to ensure data accuracy and performance.
- Leverage AI/ML tools like GitHub Copilot and Agentic AI to optimize test script generation and innovate QA testing workflows in a banking domain context.
Minimum Requirements
- 5-7 years of experience in software testing or QA engineering, with focus on data testing and automation.
- Strong proficiency in Python scripting (pandas, PySpark, NumPy), advanced SQL (including cross-database queries and stored procedures), and ETL tools like DataStage or Informatica.
- Experience with Apache Airflow, Robot Framework, REST API testing using Postman, and Unix/Linux shell scripting and log analysis.
- Domain expertise in banking, specifically Transaction Lifecycle Management (TLM) and financial reconciliation.
Ideal Candidate Profile
- Experienced in end-to-end testing of complex data pipelines within large-scale banking or financial services environments.
- Comfortable working hybrid mode with shifts aligned to 12:30 PM to 10:00 PM IST, and operating within containerized platforms like OpenShift.
- Skilled at integrating AI/ML assisted development tools to enhance automation efficiency and maintain high testing standards in regulated domains.