QA Automation Test Engineer

Posted 16 Hours Ago
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Bengaluru, Bengaluru Urban, Karnataka, IND
In-Office
Entry level
Artificial Intelligence • Big Data • Cloud • Consulting
The Role
Develop and maintain Selenium automation scripts using Python; perform functional, regression, and integration testing; validate databases with SQL; troubleshoot in Unix/Linux environments; analyze test results and coordinate defect resolution; enhance automation frameworks and test coverage within an Agile/Scrum team.
Summary Generated by Built In

Looking for an experienced Automation QA Engineer with strong hands-on experience in Selenium and Python. The candidate should have good knowledge of Unix/Linux and SQL and be experienced in developing and executing automated test scripts.


Key Responsibilities:

Develop and maintain automation scripts using Selenium with Python.
Perform functional, regression, and integration testing.
Write and execute SQL queries for database validation.
Work in Unix/Linux environments for testing and troubleshooting.
Analyze test results, identify defects, and coordinate with development teams for resolution.
Contribute to automation framework enhancement and improve test coverage.
Work effectively in an Agile/Scrum environment.




Requirements
Selenium | Python | Unix/Linux | SQL | Automation Testing | Regression Testing
Knowledge of PyTest, Git, CI/CD, and API testing is an added advantage.


Skills Required

  • Hands-on experience with Selenium
  • Hands-on experience with Python
  • Knowledge of Unix/Linux
  • Knowledge of SQL
  • Experience developing and executing automated test scripts
  • Automation testing experience
  • Regression testing experience
  • PyTest knowledge
  • Git knowledge
  • CI/CD knowledge
  • API testing knowledge
Am I A Good Fit?
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The Company
600 Employees
Year Founded: 2016

What We Do

Blackbuck Insights is a global data and AI consultancy providing data engineering services, cloud modernization, AI activation, and platform operations. The company helps enterprises modernize legacy environments, migrate and scale data platforms, build AI-enabled business applications, and establish trusted data foundations for analytics and intelligent decision-making. Its services support organizations seeking reliable, performant, and scalable technology solutions.

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