QA Automation Engineer

16.8k - 20.2k PLN16 800 - 20 200 PLN/ mies./ mies.B2BB2B (netto)

MidZdalnie·WarszawaFull-time·B2B

#453331·Dodano 28 dni temu·16

Źródło: SOLID.Jobs

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Tech Stack / Keywords

Python Robot Framework

Firma i stanowisko

Firma apreel powstała w kwietniu 2010 roku. W miarę rozwoju firmy i równolegle ze wzrostem poziomu zaufania klientów, jej działalność poszerzyła się o usługi Outsourcingu Specjalistów IT. Dziś to właśnie ten obszar stanowi główny filar działalności apreel.

Wymagania

5+ years of software quality engineering or test automation experience, including at least 2 years of data-centric validation.
2+ years of hands-on Robot Framework experience, including reusable resources, custom Python keyword libraries, parameterized testing, and Robot output analysis.
Strong Python development skills for parsing, transformation, JSON traversal, numerical comparison, and automated validation.
Experience writing SQL for data reconciliation, quality analysis, regression trending, and defect investigation.
Experience validating source-to-target mappings across JSON, CSV, XML, XLS/XLSX, and structured or semi-structured text formats.
Knowledge of JSON Schema, semantic data models, controlled vocabularies, and schema-driven validation; Allotrope ASM experience is preferred.
Experience with smoke, functional, regression, and UAT testing, including defect lifecycle management and root cause analysis.
Experience with Git, GitHub Actions or equivalent CI/CD tooling, containerized execution, dependency management, and automated report publishing.
Experience with Jira, Xray, Agile delivery, test evidence management, and regulated or GxP laboratory environments.

Obowiązki

Design, build, maintain, and execute Robot Framework validation suites for laboratory instrument data converted to Allotrope Simple Model (ASM) JSON.
Translate business requirements, field mappings, SOPs, and validation standards into automated schema, mapping, semantic, and formatting checks.
Develop Python readers, custom Robot keywords, and reusable validation libraries for CSV, XML, XLS/XLSX, JSON, and instrument-specific formats.
Perform smoke, functional, regression, UAT, and cross-version testing across converter releases and instrument datasets.
Conduct root cause analysis to distinguish converter defects, source-data issues, schema changes, and test automation defects.
Maintain test traceability through mapping identifiers, stable finding and defect keys, execution provenance, and auditable evidence.
Analyze validation results using SQL, DuckDB, and Parquet to identify new, recurring, resolved, reopened, and regressed findings.
Prepare and publish Test Summary, Defect Summary, HTML/JSON, and trend reports for technical and business stakeholders.
Maintain CI/CD execution and reporting through GitHub Actions, containerized test environments, Artifactory, Jira, and Xray.

Benefity

16.8k–20.2k PLN netto per month (B2B)
B2B contract with flexible working hours (100%)
Fully remote work

apreel

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