ETL Tester (QA Automation – Data Engineering) at doodleblue Innovations | Torre

ETL Tester (QA Automation – Data Engineering)

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Shared by
Geraldine Tovitto
1 day ago

Requirements and responsibilities


Are you passionate about Data Engineering, ETL Testing, and Cloud Data Platforms? We're looking for an experienced ETL Tester to validate modern data pipelines built on Databricks Lakehouse Architecture.ResponsibilitiesValidate end-to-end data ingestion, transformation, and consumption pipelines across Bronze, Silver, and Gold layers.Perform source-to-target data validation for structured datasets.Validate business rules, data transformations, and ETL processes.Ensure data quality through consistency, completeness, uniqueness, and referential integrity checks.Design and develop automation frameworks for ETL and data validation testing.Automate data quality and regression testing using Python, SQL, and PySpark.Build reusable validation scripts for schema validation, data reconciliation, and data drift detection.Integrate automated test suites into CI/CD pipelines.Validate Databricks notebooks, workflows, Delta Tables, and job orchestration.Test Delta Lake features including ACID compliance, schema evolution, and time travel.Validate the performance and scalability of Spark-based transformations.Collaborate with Agile teams to ensure high-quality and reliable data delivery.Required SkillsSQLPythonPySparkDatabricksETL & Data Validation TestingBatch PipelinesIncremental LoadsCDC PipelinesMedallion ArchitectureCI/CDPreferred Qualifications4–6 years of experience in QA/Data Testing.2+ years of experience in Databricks/Data Lakehouse projects.Experience working in Agile/Scrum environments.Databricks, Cloud, or Testing certifications are an added advantage.📩 Interested candidates, share your resume at supriyar@doodleblue.com