JR-202783 QA Engineer Senior

Customertimes Corp.; New Delhi; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Customertimes Corp. is seeking a QA Engineer to own end-to-end quality for a NLP-enabled analytics platform. You will validate complex data workflows, charts, dashboards and reporting UIs while contributing to and scaling our Python/pytest/Selenium automation framework.

The role emphasizes strong manual testing on data‑intensive applications with hands-on automation growth in a collaborative team. You will collaborate with developers, PMs and data analysts, perform data validation via SQL and

Qualifications

• 5+ years of QA experience in business or analytics applications.
• Strong manual testing background on data-intensive apps.
• Hands-on automation exposure with scripting
• Experience with BI/analytics platforms preferred.

Responsibilities

• Design, develop, and execute test plans and cases for analytics/BI product.
• Perform functional, regression, integration, and exploratory testing across releases.
• Validate analytics UIs: sorting, filtering, charts, dashboards, NLP outputs.
• Validate backend data via SQL and API responses.
• Track defects in JIRA and drive timely resolution.
• Collaborate with developers, PMs, and data analysts to verify features.
• Provide sign-off on stories based on test execution and defect status.
• Ensure data privacy and security standards across testing activities.

Skills

Manual testing

SQL validation

Python automation

Playwright

QA framework

JIRA

Data analytics

BD/BI testing

Education

Bachelor's degree in CS/IT

Tools

JIRA

Python

Playwright

SQL

Job description

We are seeking a QA Engineer with a strong foundation in functional testing and growing automation capabilities to join our analytics product team. You will own end-to-end quality for a NLP-enabled analytics platform — validating complex data workflows, charts, dashboards, and reporting UIs — while contributing to and scaling our Python/pytest/Selenium automation framework. This role is ideal for someone with deep manual QA experience on data-intensive applications who has hands‑on automation exposure and is motivated to develop their scripting skills further in a collaborative team environment.

Job Responsibilities:

• Design, develop, and execute comprehensive test plans and test cases for an analytics/BI product.
• Perform functional, regression, integration, and exploratory testing across application releases.
• Validate analytics UIs including sorting, filtering, chart data accuracy, dashboard rendering, and NLP query outputs.
• Perform data validation by comparing UI results against backend data via SQL queries and API responses.
• Identify, document, and track defects using JIRA; participate in triage and ensure timely resolution.
• Collaborate with developers, project managers, and data analysts to clarify requirements and validate feature implementations.
• Provide sign-off on stories based on thorough test execution, acceptance criteria coverage, and defect status.
• Ensure compliance with data privacy and security standards across all testing activities.

Functional & Manual Testing

• Design, develop, and execute comprehensive test plans and test cases for an analytics/BI product.
• Perform functional, regression, integration, and exploratory testing across application releases.
• Validate analytics UIs including sorting, filtering, chart data accuracy, dashboard rendering, and NLP query outputs.
• Perform data validation by comparing UI results against backend data via SQL queries and API responses.
• Identify, document, and track defects using JIRA; participate in triage and ensure timely resolution.
• Collaborate with developers, project managers, and data analysts to clarify requirements and validate feature implementations.
• Provide sign-off on stories based on thorough test execution, acceptance criteria coverage, and defect status.
• Ensure compliance with data privacy and security standards across all testing activities.

Automation Testing

• Contribute to and maintain the team's automation framework built using Python, pytest, and Playwright.
• Automate regression suites and validate data-intensive flows including search, sort, filter, and charting functionality.
• Support solution and product teams in adopting and using the automation framework effectively.
• Participate in code reviews for automation scripts and provide constructive feedback.

Requirements:

Experience & Background

• 5+ years of experience in QA, with a strong focus on manual/functional testing of business or analytics applications.
• Hands‑on experience with data‑intensive applications — validating large datasets, reports, and analytics outputs.
• Prior exposure to BI, analytics, or reporting platforms strongly preferred.
• Bachelor's degree in computer science, Information Technology, or a related field.

Functional Testing Skills

• Strong understanding of data validation and data quality processes, including UI‑to‑database verification.
• Ability to validate analytics and reporting UIs: sorting, filtering, chart data, drill‑downs, and data accuracy checks.
• Proficiency in SQL for backend data validation and cross‑checking UI results.
• Experience with test case and test scenario creation, test planning, and defect lifecycle management.

Automation Skills

• 1-2 years of practical automation scripting experience.
• Working knowledge of Python for automation; willingness to work in Python/Playwright if coming from another stack.
• Understanding of Page Object Model (POM) architecture and automation best practices.
• Experience automating UI and API based test scenarios.
• Ability to support other teams in understanding and adopting automation frameworks.