Job Title: ETL QA Tester with Python and Databricks experience
Summary: We are seeking a meticulous ETL QA Engineer to ensure data integrity across our Databricks platform.
You will validate complex data pipelines using SQL and Python, working closely with global teams to deliver high-quality data solutions.
This role requires flexibility to ensure overlap with US EST working hours for real-time coordination and team collaboration.
Key Responsibilities:
Design, develop, and execute ETL test cases to validate data extraction, transformation, and loading processes. Write and execute complex SQL queries to perform data validation between multiple hops.
Medallion Architecture Testing: Validate data integrity as it moves through the Bronze, Silver, and Gold layers within Databricks.
Write and execute advanced SQL and Python scripts to validate large datasets and identify defects.
Design, develop, and execute UI Front end manual test cases to validate the functionalities of the software. Identify, document, and track defects,



collaborate with developers to ensure timely resolution.
Participate in project meetings and be available for discussions in US EST working hours as needed
Required Skills & Qualifications

Must-have:

Advanced SQL: Proficiency in windows functions, complex joins and CTEs for deep data validation.
ETL & DWH: Deep understanding of ETL and Data Warehouse concepts.

Positive to have:

Databricks Experience: Hands-on experience with Databricks Notebooks and cluster management
Programming: Strong skillsin Python, specifically PySpark and Pandas for large-scale data manipulation.
Cloud Platform Familiarity: Experience working within Azure or AWS environments.
Agile Methodologies and Defect Tracking Tools: Experience with Jira for defect tracking and working with Agile/Scrum framework.
CI/CD (Additional Plus): Familiarity with automated deployment pipelines and version control (Git)

📌 ETL QA Tester with Python and Databricks experience (Bengaluru)
🏢 InfoBeans
📍 Bengaluru