It's fun to work in a company where people truly BELIEVE in what they are doing!

We're committed to bringing passion and customer focus to the business.

About Company:
Fractal is a leading AI & analytics organization. We have a strong Testing Team with great leaders accelerating the growth. Our people enjoy a collaborative work environment, exceptional training, and career development as well as unlimited growth opportunities. We have a Glassdoor rating of 4/5 and achieve customer NPS of 9/10. If you like working with a curious, supportive, high-performing team, Fractal is the place for you.

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 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 
   

QUALIFICATIONS:

REQUIRED QUALIFICATIONS:

• 3 to 7 years of software testing experience 
• 3+ 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 and queries.
• Expert in automation testing, creating end to end use cases.
• Knowledge of QA methodologies, tools, and techniques 
• Knowledge of DevOps principals 
• Experience working in a Database testing and data migration projects.
• 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 
• 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 
   

PREFERRED QUALIFICATIONS:

• QA management experience 
• Experience working with professional software engineering practices and best practices for the full software development life cycle 
• 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.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

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