Test Automation Engineer (Python / Robot Framework)

Upvanta sp. z o.o.Life Sciences / Pharma

Workplace type: remote; Country code: PLContractSenior

Salary800 - 900 PLN per day net b2b

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Job Details

Languages: En B2
Experience: Minimum 5 years of experience in software testing, quality engineering, or test automation; at least 2 years of experience in data validation or testing data-oriented solutions; minimum 2 years of practical experience with Robot Framework.
Required Skills: PythonSQLGitCI/CDGitHub Actions

Have at least 5 years of experience in software testing, quality engineering, or test automation.
Have at least 2 years of experience in data validation or testing data-oriented solutions.
Have at least 2 years of practical experience with Robot Framework.
Have very good Python skills and the ability to create test libraries and tools.
Have practical SQL knowledge and experience analyzing, comparing, and reconciling data.
Have experience validating data and mappings between different file formats.
Understand regression testing, defect analysis, and root-cause identification.
Have experience with Git and CI/CD tools.
Apply analytical thinking and problem-solving to draw conclusions from data.
Communicate effectively and collaborate with project teams.
Pay attention to detail, documentation quality, and reliable task execution.
Additional assets include Allotrope Simple Model (ASM), laboratory data, JSON Schema, semantic data models, and controlled vocabularies.
Additional assets include DuckDB, Parquet, Jira, Xray, GitHub Actions, Docker, and other containerization solutions.
Experience in pharmaceutical, laboratory, or regulated environments, especially GxP, is an advantage.
Knowledge of documenting and auditing validation processes is an advantage.

Design, develop, and maintain automated validation tests using Robot Framework.
Create Python tools and libraries to validate JSON, CSV, XML, XLS, and XLSX data.
Verify conversions of laboratory data to Allotrope Simple Model (ASM) JSON.
Automate checks of schemas, field mappings, semantics, and data formatting.
Run functional, regression, smoke, and UAT tests.
Analyze test results and identify causes of inconsistencies and defects.
Use SQL, DuckDB, and Parquet to analyze test data and monitor quality trends.
Prepare test reports, defect summaries, and validation documentation.
Maintain and develop CI/CD processes using GitHub Actions and container environments.
Collaborate with technical and business teams on test reviews and defect analysis; maintain traceability of tests and validation results.

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