QA Engineer - COM INGLÊS
Core
Define and execute quality strategies for data, integration, and AI solutions, validating data pipelines, ingestion mechanisms, and AI-generated content.
Role type
QA Engineer (Data & AI)
Builds
Data pipelines, AI agents, and workflows involving data ingestion, transformation, and reconciliation.
Domain
Financial services and energy sector technology
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Test strategy design, SQL, data quality dimensions (completeness, accuracy, consistency), data ingestion/transformation testing, AI content validation, Human-in-the-Loop testing, defect tracking, CI/CD integration
Preferred skills
Generative AI testing, RAG systems, Microsoft Copilot Studio/Azure AI, Power Platform, Python for automation, security testing (prompt injection), observability
Technologies
SQL, Python, Microsoft Copilot Studio, Azure AI Foundry, Azure OpenAI, Power Platform, Power Automate, Microsoft Dataverse
Responsibilities
Create test strategies and plans from scratch; define test scenarios and acceptance criteria; execute functional, integration, regression, and performance tests; validate data ingestion and reconciliation processes; test AI-generated content and agents; monitor dataset health and identify anomalies; report quality metrics and technical risks; contribute to test automation in CI/CD pipelines.
Seniority
Mid-level, hands-on IC