The Company was established in 2010, this organization is a technology solutions provider focused on Product Engineering, Digital Innovation, and Network Engineering Services. Headquartered in the United States, it has a global presence across North America, the Middle East, and India, delivering high-impact solutions to leading telecommunications and technology clients.

Key Responsibilities:

• Design and develop automated test frameworks using Python and Selenium.
• Automate validation of data pipelines built on Databricks and PySpark.
• Perform data validation and transformation testing in large-scale environments.
• Write complex SQL queries for backend data verification.
• Develop reusable automation utilities for regression and integration testing.
• Validate ETL processes and ensure data accuracy across systems.
• Work closely with Data Engineers and Developers to ensure test coverage.
• Participate in Agile ceremonies and sprint planning.
• Track defects and test cases using Jira or test management tools.

Mandatory Skills

• Automation & Programming
• Strong hands-on experience in Python
• Automation using Selenium
• Experience building and maintaining automation frameworks Big Data & Data Testing
• Hands-on experience with Databricks
• Strong working knowledge of PySpark
• Data validation and transformation testing
• ETL testing exposure Database
• Strong SQL skills (query writing, optimization, data validation)

Note: Due to a high volume of applications, only shortlisted and relevant candidates will be contacted.