Senior Python/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, HTTPX, 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 to Generative AI / Agentic AI testing is a plus.