JR-188023 QA Automation Engineer Middle

Role 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 an 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. Location: Bangalore (Hybrid/Remote) Job Responsibilities: 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 Python, pytest, and Selenium. Contribute to and maintain the team's automation framework built on Write clean, maintainable automation scripts for UI-based test scenarios following Page Object Model (POM) architecture. 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, drilldowns, 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. Familiarity with ETL testing concepts is a plus. Automation Skills 1-2 years of practical automation scripting experience using Selenium, pytest, Katalon, or similar tools. Working knowledge of Python for automation; willingness to work in Python/pytest if coming from another stack. Understanding of Page Object Model (POM) architecture and automation best practices. Experience automating UI-based test scenarios; API test automation is a plus. Ability to support other teams in understanding and adopting automation frameworks.