Data Validation Analyst

Job Role: Data Validation Analyst Duration : 6 Months (Highly chance to extends) Location : Toronto, ON (3 days in week onsite) Daily Responsibilities: Typically requires 8-12 years of QE related experience in manual testing and test automation. Good knowledge of Testing Life Cycle, SDLC and Defect Management processes for application support and development. Good knowledge with QE Processes, Methodologies and Test Design techniques with hands on experience on QTest/ALM, Jira and Confluence. Experience with Agile Project Methodologies. Strong problem solving, design, and analytical skills and out of the box thinking coming up with creative solutions on testing approach in critical timelines. Experience with test automation frameworks and tools such as pytest and Selenium, plus strong scripting and automation skills in Python and SQL for writing test scripts, validating data with SQL queries and stored procedures, and integrating tests into CI/CD pipelines. Hands-on coding experience in SQL DB querying, Python. Good knowledge of industry practices with focus on Agile, DevOps, environments and test integration. Minimum 5 years of experience in a QE/test environment with a focus on technical, automated testing in a variety of environments (business workflows and services/APIs, databases).

Excellent communication skills and effective negotiation skills. #QE Mindlance is an equal-opportunity employer. We are committed to inclusive, equitable, barrier-free recruitment and selection processes, and a work environment in accordance with the Accessibility for Ontarians with Disabilities Act (AODA). We will be happy to work with applicants requesting accommodation at any stage of the hiring process