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Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner.
QA Engineer - Data Management & Platforms
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 consumers
Requirements:
Python+Databricks+Azure
Primary Responsibilities:
- Lead and 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
- Guide testing methodologies across the teams on all different projects
- 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 KPIs 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
Education:
- Bachelors degree in a relevant field such as Information Systems, Computer Science, Engineering, etc.
Required Experience and Skills:
- 3 to 5 years of software testing experience
- 8+ years of experience working as a QA Engineer or in a similar capacity
- 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
- Previous experience as test automation engineer at various development stages and integrating with CI/CD pipelines (e.g., unit, integration, load tests)
- Proficiency in Python programming
- 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 Experience and Skills:
- 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
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
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