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Quality Assurance Engineer (e-commerce search functionality Testing)

3 years

0 Lacs

India

Posted:3 days ago| Platform: Linkedin logo

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Skills Required

testing data design test ranking sql profiling etl development engineering resolve regression automate agile scrum planning software ai joins tuning metrics storage management jira communication analytics automation selenium learning

Work Mode

Remote

Job Type

Full Time

Job Description

Job Title: QA Engineer – Google Retail Search + SQL

Location:

Job Type:

Experience Level:


Job Summary:

QA Engineer


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:

  • 3+ 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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