Senior QA Engineer (Data)

Аналитика рынка

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Описание

Обязанности: Design, develop, and maintain automated data quality checks across the Medallion architecture (Bronze/Silver/Gold), using dbt tests, Great Expectations (or equivalent), and custom PySpark assertions to validate accuracy, completeness, consistency, and referential integrity at each layer., Lead the investigation of complex quality issues, perform root cause analysis, and drive preventative actions to improve product quality and engineering practices., Partner with Data Engineers, Data Designers, Product Owners, and other stakeholders to define quality requirements, identify risks, and implement effective quality assurance strategies., Drive quality throughout the software development lifecycle by actively contributing to Agile ceremonies and promoting quality engineering best practices within the team., Design and maintain high-quality test documentation, including test strategies, test plans, test cases, execution reports, and test closure reports., Validate ETL/ELT processes built on Databricks and Apache Spark, including Delta Lake table integrity, schema evolution handling, and job-level performance regression. Own Unity Catalog-level data governance checks (lineage, access control validation, table certification status) as part of the QA sign-off process., Champion test automation across the GitLab CI/CD pipeline, including contract testing (Pact/PactFlow) for data API/service boundaries where applicable, and drive adoption of automated DoD validation gates a

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