Role: Data QA Engineer Note :This is not a usual QA role. Please go through the job description and submit only those have the skills. Location : Remote EST work (EST / CST candidates only please) Duration : 5 months Required Skills; Expertise in SQL, Python Mastery, BigQuery proficiency, DBT familiarity, Looker understanding, GCP Automation toolsWe are seeking a dedicated and technically skilled Data QA Engineer. The Engineer will work closely with development leads and data engineers to define analysis strategies and create test plans that ensure the highest quality of code delivery. The candidate will build, manage, and maintain a robust testing environment.Collaborate with development leads and data engineers to define analysis strategy and test plans to ensure quality delivery.Define, build, automate, and execute testing for code in an agile practice in accordance with sprint planning.Build, manage, and maintain unit, integration, and regression tests using DBT, Vertex, and Colab.Troubleshoot issues found during the development and testing phases, proposing and implementing efficient solutions.Design, monitor, and maintain QA reports, KPIs, and quality trends to evaluate the effectiveness of QA (link removed)municate accurately the status and risks for ongoing work and timelines to stakeholders.Skills : Expert-level proficiency in SQL and Python.Hands-on experience with DBT, Vertex, and Colab.Strong experience with agile development methodologies.Knowledge of software QA methodologies, tools, and processes.Familiarity with CI/CD tools and methods.Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience.