We are seeking a skilled QA Engineer with strong experience in Databricks, ETL testing, and data validation.
The ideal candidate will work closely with data engineers, analysts, and product teams to ensure accuracy, reliability, and quality of data pipelines and data-driven applications.
This role requires hands-on testing of ETL jobs, data transformations, data quality checks, and validation across big-data platforms.
Expertise You'll Bring:
ETL & Data Pipeline TestingDesign, develop, and execute test cases for ETL workflows and data pipelines
Perform detailed source-to-target data validation, data profiling, and transformation checks
Validate data quality, completeness, accuracy, and integrity across multiple datasets
Test data ingestion from various structured/unstructured sources