Mid-level QA Engineer
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Job Description
QA Engineer ensuring quality in fintech solutions for retail credit. Collaborating with developers and stakeholders for effective testing in a remote setup.
Responsibilities:
- Actively participate in refinement sessions, proposing testable acceptance criteria and identifying quality risks from the earliest stages
- Create and maintain comprehensive test plans
- Develop and maintain automated tests for APIs and frontends, aligning automation to the product's critical flows
- Perform integration testing, data validation, and end-to-end testing, focusing on real system coverage
- Identify and anticipate quality issues, proactively mitigating defects and supporting platform stability
- Collaborate with developers, Product Owners, and other stakeholders to ensure continuous quality throughout the software lifecycle
- Continuously evaluate QA tools, methods, and metrics, proposing improvements aligned with industry best practices
- Support the structuring of the QA area within the squad, helping to define processes, best practices, and quality standards
- Serve as a technical reference for less-experienced profiles, contributing to team growth and a quality-first culture
- Contribute to the definition and implementation of testing strategies in distributed environments, ensuring reliability, traceability, and reproducibility of deliveries.
Requirements:
- Practical experience with Python
- Strong knowledge of a programming language: syntax, control structures, etc.
- Practical knowledge of data management and workflow platforms
- Practical experience with ETL tools (such as Pentaho, Databricks, and Airflow) for monitoring and validation, and testing large-volume data flows and complex pipelines
- Data Quality: solid understanding of data quality principles and validation methodologies
- Hands-on experience in the ETL process (extraction, transformation and loading)
- Practical knowledge of Great Expectations
- Fundamentals of compliance and data privacy (LGPD, GDPR)
- Deep understanding of testing methodologies (black-box, white-box, regression, etc.)
- Deep knowledge of test types (integration, functional, acceptance tests, etc.)
- Strong knowledge of testing techniques such as Equivalence Partitioning and Boundary Value Analysis
- Git and Gitflow: versioning, branches, merge, merge request
- Strong knowledge of SQL/NoSQL databases
- Solid understanding of Agile methodologies and practical experience with Scrum or Kanban
Benefits:
- Remote work model
- Contract via a cooperative
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