QA Automation Engineer – Data Engineering at doodleblue Innovations | Torre

QA Automation Engineer – Data Engineering

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Shared by
Laura Motta
about 2 months ago

Requirements and responsibilities


We are looking for a QA Engineer with strong experience in ETL/Data Testing and PySpark-based data pipeline validation for modern cloud data platforms.Key Responsibilities:Validate end-to-end ETL/data pipelines across Bronze, Silver, and Gold layersPerform source-to-target validation and business rule testingAutomate ETL/data quality testing using Python, SQL, and PySparkBuild reusable automation frameworks and validation scriptsValidate Databricks notebooks, workflows, Delta Tables, and Spark transformationsIntegrate automated test suites into CI/CD pipelinesEnsure data consistency, completeness, referential integrity, and scalabilityRequired Skills:SQLPythonPySparkDatabricksETL/Data TestingAutomation FrameworksBatch Pipelines & Incremental LoadsCDC PipelinesCI/CD IntegrationKnowledge of Medallion Architecture conceptsPreferred:Experience in Databricks/Data Lakehouse projectsAgile/Scrum experienceCloud/Databricks/Test certifications are a plusInterested candidates can share their updated resume to: pavithra.r@doodleblue.com