QA Data Engineer

Required Skills & Experience • Bachelor's degree in Computer Science, Information Technology, or a related field • Experience performing integrated application quality assurance and project management • Extensive experience with developing and testing a front-end applications • Strong analytical and problem-solving ability • Familiarity with automation testing tools and processes (Tricentis Tosca) • Experience working with Microsoft Azure services, including DataBricks • Strong understanding of Python, SQL • Proficient in Jira and Zephyr Scale • Familiarity with Agile development methodologies and participation in Agile teams • Excellent problem-solving skills and attention to detail • Strong communication and teamwork skills to collaborate effectively with various stakeholders Job Description As a Quality Assurance Data Engineer, you will play a crucial role in ensuring the integrity, reliability, and high performance of our decision-making data platform. Your expertise will be pivotal in enforcing data quality standards, performing rigorous testing, detecting, and resolving data issues, and supporting the continuous improvement of our software development processes. With strong analytical and communication skills, this role brings attention to detail and technical expertise to the testing process, ensuring the delivery of robust and error-free data analytical solutions. This role involves both manual and automated testing, contributing to the overall success of the development lifecycle. - Develop and execute comprehensive test plans based on project requirements and specifications - Create and maintain detailed testing documentation including test cases, test scripts, and test results - Execute function, regression, and performance testing to identify and resolve issues - Collaborate with data engineers and developers to maintain high standards of data quality and consistency - Identify, log, and track defects in the systems, working with cross-functional teams to resolve them in a timely manner - Participate in Agile/Scrum ceremonies, contributing to the continuous enhancement of data processes and data platform - Advocate for best practices in QA and contribute to the development of automated testing strategies - Uphold standards of data integrity and contribute to continuous improvement initiatives within the QA process