QA Engineer

2 days ago

Gandhinagar, Gujarat, India beBeeQuality Full time ₹ 10,00,000 - ₹ 15,00,000

Job Title:

Quality Assurance Expert

Are you a detail-oriented professional with hands-on experience in Google Retail Search (GRS) and strong proficiency in SQL? We're seeking a highly skilled QA Engineer to ensure the quality and performance of retail search integrations, validate data pipelines, and execute end-to-end testing for an exceptional customer experience in e-commerce search environments.

Key Responsibilities:

  • Design, develop, and execute test cases for Google Retail Search implementations.
  • Validate search relevance, ranking, and results quality across e-commerce platforms.
  • Perform end-to-end testing on data pipelines and integrations between GRS, BigQuery, and associated databases.
  • Write complex SQL queries to validate datasets, perform data profiling, and verify ETL jobs.
  • Collaborate with development, product, and data engineering teams to identify and resolve issues.
  • Monitor test coverage, perform regression testing, and maintain test documentation.
  • Automate test scenarios wherever feasible using appropriate QA tools and frameworks.
  • Participate in Agile/Scrum ceremonies and contribute to sprint planning, reviews, and retrospectives.

Required Qualifications:

  • 5+ years of experience in QA or software testing roles.
  • Hands-on experience with Google Retail Search or similar retail search/AI-based search solutions.
  • Strong proficiency in SQL, including ability to write complex joins and data validation queries.
  • Experience testing e-commerce search functionality, including relevance tuning, search metrics, and user behavior.
  • Familiarity with Google Cloud Platform (GCP) and tools such as BigQuery, Cloud Storage, and Pub/Sub.
  • Knowledge of QA methodologies, test plans, and defect management tools (e.g., Jira, TestRail).
  • Strong analytical and problem-solving skills.
  • Excellent communication skills and attention to detail.

Preferred Qualifications:

  • Experience with search analytics tools like Google Analytics, Algolia, or Elasticsearch.
  • Knowledge of test automation frameworks (e.g., Selenium, Playwright, Cypress).
  • Background in retail/e-commerce or working with product catalogs.
  • Understanding of machine learning-driven search and personalization.

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