Sr Data Quality Assurance Analyst
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- Buenos Aires
- Permanente
- Tiempo completo
This role is involved in all aspects of product development, identifies risks and creates mitigation plans.
The Senior Analyst assists in evolving formal quality processes & best practices, coordinating and mentoring team members, reporting status, and implementing test automation in existing frameworks.
Primary Job Accountabilities/Responsibilities Work closely with business analysts or users in understanding, defining, and negotiating user needs, project scope, and deliverablesRemove blocks and resolve issues for team membersProvide continuous improvements to existing processes and best practicesAble to understand and communicate thoughts/design/ideas/specs in an unambiguous manner and adjust communication as per the contextWork requires considerable resourcefulness and inventiveness in the application and development of potential solutions or new methodsQuality AssuranceIdentify and manage all needed phases of testing (unit, functional, integration, user acceptance, regression, and performance/load)Design, create, & execute test cases and test approach; Obtain or create test data as needed; Obtain business approval for test results; Collect status updates and provide test resultsContribute to all agile/scrum rituals; Host and tune rituals as neededIncrease test maturity by developing best practicesProvide test cases for User Acceptance Testing (UAT) or regression as neededCoordinate with UAT on test support and environmentProvide guidance for use case scenariosDevelop ad hoc queries and reports based on the needs of the business and technical teamsManage defects reported in production and during the QA testing phase against requirements and system standardsHost team defect reviews, provide root cause, and recommend areas of improvementImplement test automation and standardsProvide standards, processes, and trainingAssist in evaluating new testing and data quality toolsData QualityDesign, develop, test, code review, and implement data quality rules for applicable data quality dimensions (accuracy, completeness, validity, consistency, uniqueness, timeliness, integrity, and reasonability)Enhance the existing data quality framework to provide new functionalitiesReview and optimize SQL code, coach team members in SQL test code standardsMay be allocated 25% to Business Analyst activities including gathering and clarifying requirementsBasic Qualifications Bachelor of Science in a related field or equivalent work experienceAdvanced level of english3 years of test strategy and IT QA ExperienceExperience with programming languages or as a software developerKnowledge of LLM, RAG, and ML conceptsExperience with test automation tools (Selenium, Pytest, etc.)Experience with data repositories/data warehouseStrong SQL, proven experience working with large volume of data required, MS SQL Server preferredExperience with SDLC in Enterprise applicationsPreferred ExperienceExperience testing LLM chatbot/RAG, NLP, GenAI, or Machine Learning (ML)Experience with test automation frameworkExperience with Python.
R/Scala/C++/Java helpfulExperience with API testing, Prompt EngineeringExperience with Azure Databricks/Data Factory/DevOps, SSIS, web servicesFamiliar with on-premise and cloud infrastructures, MS SQL Server and Azure preferredExperience with Data Lake, Data Lakehouse, Data PipelinesFamiliar with MS Fabric, Unity Catalog, medallion lakehouse architectureFamiliar with Machine Learning development LifecycleKnowledge of MLOps, LLMOps, PlatformOpsExperience as QA team leadExperience with Business Analyst role
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