QA Engineer II - Data-Driven QA & Automation Specialist

Arch Global Services Philippines; Manila; On-site; PHP 500,000 - 800,000; Full time

Job summary

Arch Global Services Philippines Inc. seeks a QA Analyst to coordinate quality assurance activities for business systems. You will develop test plans, execute tests, and communicate issues to management, while leveraging SQL to analyze large data sets.

The ideal candidate has extensive database experience, strong SQL skills, and a background in data analytics and reporting within Agile environments. This role requires collaboration with project teams and ongoing QA tool learning.

Qualifications

• Bachelor's degree in computer science or related field and strong QA testing foundation.
• 3-5 years of software and data testing experience.
• Experience designing test strategies, plans and cases in IT projects.
• Strong SQL skills for data retrieval, profiling and analysis.
• Familiarity with data analytics and reporting processes in enterprise environments.

Responsibilities

• Develops test plans and timelines, estimates planning and execution, and manages QA schedules.
• Acts as primary QA contact for program managers and developers; communicates issues clearly.
• Defines testing scope, identifies risks and proposes mitigation strategies.
• Reviews controls, maintains test environments, and ensures BI reports align with specs.
• Designs and maintains Test Strategy and Test Plan documentation; provides status updates to management.

Skills

QA testing concepts

Agile software development

Playwright automation

TypeScript/JavaScript

SQL and data profiling

Data analytics and reporting

Problem solving and communication

Independent learner

Education

Bachelor's degree in Computer Science

3-5 years QA experience

Tools

Playwright

CI/CD

SQL Server Management Studio

Data warehousing tools

Job description

Arch Global Services Philippines Inc. seeks a QA Analyst to coordinate quality assurance activities for business systems. You will develop test plans, execute tests, and communicate issues to management, while leveraging SQL to analyze large data sets.

The ideal candidate has extensive database experience, strong SQL skills, and a background in data analytics and reporting within Agile environments. This role requires collaboration with project teams and ongoing QA tool learning.