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16 days ago
Requirements and responsibilities
ZIVENTRA Is HiringRole - QA Automation Engineer / Data EngineeringKey ResponsibilitiesValidate end-to-end data ingestion, transformation, and consumption pipeline across bronze, silver, and gold layers.Perform source-to-target data validation for structured.Validate business rules and data transformations.Ensure data consistency, completeness, uniqueness and referential integrity.Design and develop automated test frameworks for data validation and regression testing.Automate ETL and data quality testing using python, SQL, PySpark, or testing frameworks.Build reusable validation scripts for schema validation, 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 functionalities include ACID compliance, schema evolution and time travel.Validate performance and scalability of Spark-based transformations.Required SkillsSQLPythonPySparkDatabricksBatch PipelinesIncremental LoadsCDC pipelinesKnowledge of Medallion Architecture conceptsPreferred Qualifications6-8 Years of experience in QA/Data Testing.2+ years of experience in Databricks/Data Lakehouse projects.Experience working in Agile/Scrum delivery models.Certification in Databricks, Cloud or Testing tool is an advantage.Interested can share your CV at tamnna@ziventra.com or tag someone suitable.
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