Equity Data Science is looking to hire a talented Test Engineer to join our development team at our Mumbai office.
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Equity Data Science Hiring Details
| Job Title | Test Engineer |
| Experience | Fresher |
| Job Location | Mumbai |
| Qualification | Bachelor’s or Master’s Degree |
| Salary | ₹10 LPA – ₹18 LPA (Expected) |
| Official Website | Equity Data Science |
Job Roles & Responsibilities
- Design and execute test plans for the EDS Analytics Platform using Selenium, TestNG, and Cucumber.
- Collaborate with developers to integrate testing with AWS, Azure, and GCP environments.
- Develop automated test scripts in Java and Python to enhance test coverage.
- Analyze test results, identify issues, and provide clear feedback to the engineering team.
- Conduct performance and regression testing to ensure system reliability.
- Participate in meetings to improve product decision-making using data science insights.
- Keep up to date with the latest testing tools and methodologies to ensure optimized testing procedures.
- Maintain and update documentation related to test processes and results.
Cultural Expectations
- Collaborate with cross-functional teams to integrate testing within the development process.
- Adapt quickly to new technologies and methodologies in a fast-paced environment.
- Value data-driven decision making and continuous improvement.
- Communicate transparently with team members and stakeholders.
- Uphold high standards of quality assurance to enhance product reliability.
Hiring Process
- R1: Profile Shortlisting
- R2: Tech interview – Skill fitment, live coding with Test Engg
- R3: Tech interview – Skill fitment, live coding with Web Lead
- R4: Tech interview – Tech discussion with Chief architect
- R5: Culture fitment with CEO
About Equity Data Science
Equity Data Science, based in New York, offers a cutting-edge analytics platform to enhance decision-making and productivity for fundamental investors by leveraging advanced data science techniques, serving top investment funds since 2013. Founded by engineers, investors, and data scientists.
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