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Remote mid-level QA role with Databricks focus and general title increases applicant competition.
Transferable data testing skills, but Databricks/Delta Lake requirement increases specialization sensitivity.
Mandatory 3–5 years plus Databricks, Delta Lake, and SQL expertise required.
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Validate data accuracy, completeness, and consistency in Databricks Delta tables across Bronze, Silver, and Gold layers.
Perform source-to-target data validation, reconciliation, and test data transformations including business rules and aggregation logic.
Manage defect tracking using JIRA and collaborate with Data Engineers to resolve data pipeline issues; participate in Agile team ceremonies.
3-5 years of experience in Data Testing, ETL Testing, or Data Validation.
Hands-on experience with Databricks, Delta Lake, and SQL for data validation.
Proficiency in defect management using JIRA.
Experience working in Agile/Scrum environments.
Experienced in validating complex ETL/ELT pipelines and data transformations within Databricks ecosystems.
Skilled in executing comprehensive data validations including schema, null checks, duplicate records, and business rule validations.
Comfortable working in Agile teams, actively participating in sprint planning and other ceremonies.