Python Data Test Automation

Job Description:

Primary:

• Experience in data quality engineering, software testing, or data engineering.
• Strong proficiency in SQL and Python with the ability to validate large datasets.
• Experience with Snowflake, Databricks, Spark, Airflow, or similar tools.

Good to Have:

• Experience with BDD frameworks (e.g., Behave)
• Experience working in AWS or other cloud environments
• Familiarity with open-source data quality tools like Deequ, Great Expectations, or similar custom frameworks