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.