Technical Responsibilities
• Develop data quality and validation scripts using SQL, Python, and PySpark-based frameworks.
• Validate Databricks Lakehouse solutions built on Delta Lake.
• Integrate quality checks into CI/CD pipelines, JUnit, PyTest, and automated deployment workflows.
Key Qualification Requirements
• Minimum 4+ years of experience in Quality Engineering, QA, or Test Automation roles, with a strong focus on data platforms.
• Candidates must have at least 2-3 years of hands-on automation testing experience.
• Robust proficiency in SQL and hands-on experience using Python for test automation and validation.
• Experience with cloud-based data platforms, preferably Azure and Databricks.
• Good understanding of Data Engineering concepts, Data Modeling, and ETL Testing, and Datawarehouse Testing processes
📌 Quality Engineer (India)
🏢 Summit Consulting Services
📍 India
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