Genovice
Genovice is a dedicated staffing agency specializing in the Life Sciences and Healthcare Technology industries. Founded by industry experts, Genovice focuses on connecting companies with highly skilled professionals who meet both technical and cultural needs in fields such as biotechnology, pharmaceuticals, and healthcare technology. With a commitment to quality placements and a personalized approach, the agency ensures candidates not only meet technical qualifications but also align with company values and goals, making them a trusted partner in staffing solutions.
Staffing
Senior Quality Assurance Engineer
December 28, 2024
Genovice
Genovice is a dedicated staffing agency specializing in the Life Sciences and Healthcare Technology industries. Founded by industry experts, Genovice focuses on connecting companies with highly skilled professionals who meet both technical and cultural needs in fields such as biotechnology, pharmaceuticals, and healthcare technology. With a commitment to quality placements and a personalized approach, the agency ensures candidates not only meet technical qualifications but also align with company values and goals, making them a trusted partner in staffing solutions.
Staffing
📋 Description
• This is a remote position. • Senior Quality Assurance (QA) Engineer. • Collaborate with cross-functional teams to define testing requirements and ensure high-quality deliverables. • Utilize tools such as Great Expectations or Python testing harnesses to streamline QA processes. • Mentor and guide junior QA analysts on testing strategies, methodologies, and tools. • Lead User Acceptance Testing (UAT), including creating artifacts, conducting meetings, and providing status updates. • Translate business and functional requirements into detailed test cases and scenarios. • Execute and manage QA processes in Data Lake/Delta architectures. • Write and optimize SQL queries and Python scripts to validate data accuracy and integrity. • Ensure compliance with SOX standards where applicable.
🎯 Requirements
• 6-10 years of experience as a Data Engineer/Developer working with modern data platforms. • Proven experience in designing and implementing QA processes for large-scale data applications. • Proficiency with tools such as Great Expectations or Python testing harnesses. • Strong SQL and Python programming skills (intermediate to advanced level). • Ability to run eLective UAT processes and create associated artifacts. • Hands-on experience working in ETL development is a plus. • Expertise in testing within Data Lake/Delta architectures. • Familiarity with SOX compliance is preferred.
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