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XL Axiata

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Senior Quality Assurance Engineer

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Summary

Senior QA Engineer at telecom operator XL Axiata in Kuala Lumpur, designing and executing functional, integration, and regression tests with a strong data-testing focus: SQL-based data validation and reconciliation, ETL/data pipeline testing, and campaign output checks, plus supporting MLOps, CI/CD, and containerization within an Agile team.

Key Responsibilities

  • Design, develop, and execute test cases based on business and technical requirements
  • Perform automated, functional, integration, and regression testing
  • Validate data accuracy across databases, flat files, and data pipelines
  • Perform SQL-based data validation and reconciliation
  • Test ETL and data pipeline processes
  • Validate campaign outputs and data quality
  • Identify, document, track, and manage defects through resolution
  • Perform root cause analysis for identified issues
  • Collaborate with developers, ML engineers, and business stakeholders to resolve defects
  • Prepare test results and provide quality status updates
  • Support MLOps, CI/CD, and containerization activities required. Provide regular updates on testing progress, risks, issues, and defect status
  • Ensure alignment with Agile practices and development standards

Person Specifications

  • Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related field
  • Minimum 5 years of experience in Software Quality Assurance, Test Automation, or Data Testing
  • Strong experience in designing, developing, and executing test cases for functional, integration, regression, and end-to-end testing across enterprise applications
  • Proficiency in SQL and database testing, with hands-on experience validating data accuracy, performing data reconciliation, and testing ETL processes and data pipelines
  • Experience with test automation tools and frameworks, defect tracking systems, and test management best practices
  • Knowledge of CI/CD pipelines, MLOps concepts, and containerization technologies within Agile development environments
  • Strong analytical, problem-solving, and communication skills, with the ability to perform root cause analysis, manage defects through resolution, and collaborate effectively with developers, ML engineers, and business stakeholders

Vendor submissions - 12 months

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