Sr QA Engineer

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Senior QA Engineer responsible for ensuring quality, reliability, and performance of modern web applications, APIs, and large-scale data pipelines built on cloud and lakehouse architectures, with strong expertise in test automation, API testing, and data validation, including hands‑on exposure to Azure Databricks and data engineering workflows.

• Design, develop, and maintain robust, low‑code, and scalable automation frameworks using Java, Selenium, and Cucumber.
• Perform end‑to‑end automation testing for modern web applications using Playwright with Type Script, integrated with Cucumber.
• Implement and maintain automation frameworks including Page Object Model (POM) with Page Factory, keyword‑driven, data‑driven, and hybrid approaches.
• Execute Smoke, Integration, System, and Regression testing using automated test suites.
• Enhance existing automation scripts to meet performance, reusability, and coding standards.
• Design and execute API automation tests using REST‑Assured.
• Validate REST APIs including request/response payloads, authentication mechanisms, and error handling.
• Perform JSON/XML parsing using POJOs and schema validations.
• Use Postman and Swagger for API exploration and validation.
• Validate data pipelines and ETL workflows running on Azure Databricks.
• Perform data quality checks, reconciliation, and transformation validation using SQL and PySpark.
• Validate source‑to‑target mappings, aggregations, joins, and business rules in data pipelines.
• Test incremental loads, historical data handling, and schema evolution scenarios.
• Work closely with Data Engineers to ensure data accuracy, consistency, and performance in lakehouse environments.
• Strong hands‑on experience with SQL queries for backend and data validation.
• Use JDBC connections to retrieve and validate data using Java methods.
  
  Perform database‑level validations for transactional and analytical systems.
• Implement and maintain CI/CD pipelines for automated test execution using Git Hub Actions and Jenkins.
• Configure scheduled and on‑demand test runs using YAML‑based pipelines.
• Integrate test execution results with dashboards and shared reporting locations.
• Manage test logs, dry runs, and result artifacts for traceability.
• Actively collaborate in Agile/Scrum environments with developers, product managers, and stakeholders.
• Participate in sprint planning, backlog grooming, defect triage, and retrospectives.
• Perform peer reviews, manage pull requests, and enforce repository standards.
• Analyze logs, troubleshoot failures, and work closely with development teams to resolve defects efficiently.

• Programming & Scripting:
  Java, JavaScript, Type Script
• Automation & Testing Frameworks:
  Selenium, Playwright;
  TestNG, Cucumber (BDD); REST‑Assured for API automation
• Data & Databases: SQL;
  Database Testing (RDBMS & analytical stores); JSON / XML / YAML parsing (POJO‑based)
• CI/CD & Dev Ops:
  Git, Maven;
  Jenkins CI/CD;
  Git Hub Actions (YAML‑based pipelines)
• Cloud & Data Engineering:
  Azure Databricks;
  Spark / PySpark (data validation & testing);
  Data pipelines and ETL testing concepts
• Test Management &
  
  Collaboration:
  
  JIRA, Confluence;
  Postman, Swagger;
  Browser Stack (Cross‑browser testing)

• Required:
  
  7+ years of experience in QA Automation and Testing
• Required:
  
  Strong expertise in Java‑based automation frameworks
• Required:
  
  Hands‑on experience with Playwright and Selenium
• Required:
  
  Solid knowledge of API testing and backend validation
• Required:
  
  Strong SQL and database testing skills
• Required:
  
  Experience working with Azure Databricks or large‑scale data platforms
• Required:
  
  Proven experience in CI/CD automation
• Required:
  
  Excellent problem‑solving and communication skills
• Preferred:
  Exposure to Spark / PySpark‑based data testing
• Preferred:
  Experience validating large datasets in lakehouse architectures
• Preferred:
  Knowledge of cloud‑native testing strategies
• Preferred:
  Experience working in data‑driven or analytics‑heavy systems

• Travel: 0%
• Location:
  
  India, Bangalore