Data and Automation Test Engineer @ Neal Analytics

RESPONSIBILITIES:

• P articipate 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

Q UALIFICATIONS :

REQUIRED QUALIFICATIONS :

• 3 to 8 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

• 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

P REFERRED 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

E DUCATION :

Bachelor s degree in a relevant field such as Information Systems, Computer Science, Engineering, etc.