Data Testing Engineer- ReBoot

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

Requirements

Minimum Corporate Career Break of 1 year; 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; 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; Bachelor’s degree in a relevant field such as Information Systems, Computer Science, Engineering, etc

Nice to have

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

Benefits

Duly compensated for active involvement; Opportunity to come on-board full time with Fractal post successful completion of the program; Comprehensive blended learning program; Extended support through Buddy and key stakeholder connects; Part of live projects