Senior Software QA Engineer

We are seeking an experienced Senior Python/QA Engineer to serve as a quality gatekeeper across the full software delivery lifecycle. The ideal candidate will have strong expertise in Python automation, Playwright, Selenium, API testing, data validation, and CI/CD, along with experience testing modern data platforms such as Databricks and Snowflake.

Key Responsibilities

• Develop and execute comprehensive Test Strategies, Test Plans, Test Cases, and Test Scenarios.
• Review Business Requirements Documents (BRDs) and map requirements to testable acceptance criteria.
• Identify requirement gaps, ambiguities, and potential quality risks before development begins.
• Maintain a Requirements Traceability Matrix (RTM) linking BRD requirements, test cases, and test results.
• Participate in BRD walkthroughs, requirement reviews, and stakeholder sign-off meetings.
• Design and execute end-to-end tests covering the complete data pipeline from source systems through Databricks/Snowflake transformations to dashboard UI.
• Validate data accuracy across Databricks Unity Catalog schemas.
• Develop and execute SQL-based data validation scripts.
• Build Python-based data quality and regression frameworks using Great Expectations, Deequ, or custom frameworks.
• Validate data completeness, referential integrity, schema evolution, and data consistency across raw and curated layers.
• Develop scalable automation frameworks using Python, Playwright, and Selenium WebDriver.
• Perform functional, integration, regression, and end-to-end testing.
• Conduct comprehensive REST and GraphQL API testing.
• Validate API contracts including request/response schemas, status codes, headers, authentication, and authorization.
• Use tools such as Bruno, Postman, Requests, and Swagger/OpenAPI for API validation and automation.
• Test authentication and authorization workflows, including token validation, role-based access, and session management.
• Validate API error handling, malformed payloads, rate limiting, timeout behavior, and 4xx/5xx responses.
• Perform API performance and load testing using Locust, k6, or JMeter.
• Validate API versioning, backward compatibility, and deprecation scenarios.
• Automate API contract testing within CI/CD pipelines to identify breaking changes before deployment.
• Validate consistency between API responses and underlying Databricks/SQL query results.
• Track defects through resolution and ensure requirements are fully validated with no escaped defects.
• Collaborate with developers, business stakeholders, data engineers, and other QA teams in a global delivery environment.

Required Skills & Qualifications

• 8+ years of experience in Python and QA/automation testing.
• Strong hands-on experience with Python automation.
• Strong expertise in Playwright using Python, TypeScript, or JavaScript.
• Strong experience with Selenium WebDriver.
• Hands-on experience with API testing and API automation.
• Strong experience with REST and GraphQL APIs.
• Strong experience with SQL and data validation.
• Experience testing Databricks, Unity Catalog, Snowflake, and modern data pipelines.
• Experience building scalable automation frameworks.
• Experience with Great Expectations, Deequ, or custom data quality frameworks.
• Strong experience with CI/CD and DevOps practices.
• Hands-on experience with Docker, Azure DevOps, Jenkins, and GitHub Actions.
• Strong understanding of functional, integration, regression, system, and end-to-end testing.
• Experience with Test Strategy, Test Planning, Test Case Design, and Test Execution.
• Strong experience with Requirements Traceability and Defect Management.
• Strong analytical, troubleshooting, and problem-solving skills.
• Excellent communication and stakeholder collaboration skills.
• Exposure toGenerative AI / Agentic AI testing is a plus.