Vacancy Description
Responsibilities
Experience Requirements
- Develop Test Strategy: Create a comprehensive test plan for the Lakehouse, focusing on Data Integrity, Accuracy, and Consistency.
- Automate Validation: Replace manual spot-checking with automated Python test suites that run as part of the CI/CD pipeline.
- Defect Analysis: Identify and document data anomalies, working closely with Data Engineers to perform root-cause analysis on Spark job failures.
- Regression Testing: Ensure that new PySpark code deployments do not impact existing Gold layer business logic or dashboard reporting.
Experience Requirements
- Total QA/Testing Experience: 5+ years. Data Testing Experience: 3+ years specifically in Big Data, Hadoop, or Cloud Data Warehouse environments.
- Must have knowledge or at least Databricks Experience: 1+ years of experience testing pipelines within a Databricks environment.
- Automation <...
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