Automation QA

• Strong hands-on experience in Big Data testing using Python and PySpark.

• Experience in Cloud testing, with preference for AWS (S3, EMR, Glue, Lambda, etc.)

• Proficiency in Spark SQL for validating data across distributed systems (not traditional RDBMS SQL).

• Strong Python scripting skills for automation, data validation, and framework development.

Some of Highly Valued Skills may include:

• Experience working with Databricks Notebooks for exploratory testing and validation.

• Familiarity with Databricks platform and workflows.

• Knowledge of data pipeline validation and ETL testing.

• Experience with CI/CD pipelines and test automation integration.

  • Understanding of data quality frameworks and validation techniques.