Data Testing Engineer- ReBoot
Fractal Analytics
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ABOUT FRACTAL
ReBoot is Fractal's returnship program for professionals who took a career break or explored entrepreneurship and are looking to make a transition back to the workforce and pursue their career goals. This returnship program is a four-month duration, during which participants are duly compensated for their active involvement and that gives you an opportunity to come on-board full time with Fractal post successful completion of the program. During the returnship, you will engage in a comprehensive blended learning program that will help refresh your skills and ease your transition back to the workforce. You will be part of live projects and get extended support through Buddy and key stakeholder connects.
ABOUT REBOOT
#ReBootWithFractal
Data Testing – Engineer
JOB TITLE: Data Testing – Engineer
JOB LOCATION: Bengaluru/Mumbai/Gurugram/Pune/Chennai
REBOOT PROGRAM ELIGIBILITY:
- Minimum Corporate Career Break of 1 year
JOB DESCRIPTION:
The Quality Assurance Engineer will join our team and support the deployment and monitoring of quality standards. The QA Engineer will work with engineers across teams to develop a Quality Assurance framework for the entire organization. As a QA Engineer you will be a part of the Data Management & Platforms team and will help drive quality throughout the entire data product lifecycle through collaboration with product and development teams, development of test cases and automation scripts, and analysis of the system to consistently deliver quality products to downstream consume.
RESPONSIBILITIES:
- Participate within QA teams through management of daily activities, training, and mentoring
- Collaborate with stakeholders to improve quality standards and testing procedures
- Develop test plans, test scenarios, test cases and test data for different testing activities
- Provide definition, implementation, and maintenance of standard QA processes and methodologies for cloud, data, and application
engineering efforts
- Collaborate with Product Owners and UX/UI Designers teams to understand different use cases and develop test plans accordingly
- Collaborate with Product and Development Leads to develop and implement a testing roadmap for the product
- Work with development teams to develop quality standards for areas such as test automation, unit, functional, system integration,
performance, and user acceptance test phases
- Own end-to-end QA automation and manual quality assurance processes and execution
- Define and implement KPI’s to support end-to-end automation in the product development quality life cycle
- Coordinate and manage platform releases by overseeing test case execution, documenting defects, and managing deployment of
releases
• Troubleshoot quality issues and modify test procedures when applicable
REQUIRED SKILLSETS:
- 2 to 6 years of software testing experience
- 2+ years of experience working as a QA Engineer or in a similar capacity
- Must have experience in ETL testing, creating data pipelines
- Excellent experience in Python and SQL scripting
- Expert in automation testing, creating end to end use cases.
- Knowledge of QA methodologies, tools, and techniques
- Knowledge of DevOps principals
- Experience working in an Agile environment
- Excellent communication skills and ability to work with the different stakeholders to improve the company’s procedures and to ensure the vision is communicated clearly
REQUIRED SKILLSETS: (CONTD.)
Previous experience as test automation engineer at various development stages and integrating with CI/CD pipelines (e.g., unit, integration, load tests)
- Experience with testing PySpark code and API testing
- Experience with test automation frameworks (Python BDD)
- Experience with docker containers
- Analytical thinking, problem-solving skills, and attention to detail
ADDITIONAL SKILLSETS PREFERRED:
- QA management experience
- Experience working with professional software engineering practices and best practices for the full software development lifecycle
- Experience improving product test coverage and effectiveness
- Experience in Selenium Automation testing using Python, Pytest
EDUCATION:
Bachelor’s degree in a relevant field such as Information Systems, Computer Science, Engineering, etc
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
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