Design and develop test cases for ETL processes to ensure data integrity and accuracy.
Develop and maintain automated tests using Pyspark to validate data processing workflows.
Collaborate with cross-functional teams to identify and resolve data-related issues.
Analyze and report defects found during testing, providing recommendations for improvement.
Participate in code reviews to ensure adherence to coding standards and best practices.
Stay updated with industry trends and emerging technologies in ETL testing and data analytics.

Job Requirements
Proficiency in ETL Testing, Pyspark (data testing), and Python programming.
Experience working with large datasets and complex data systems.
Solid analytical and problem-solving skills with attention to detail.




Excellent communication and collaboration skills, with the ability to work effectively in a team setting.
Ability to design and implement automated tests using various tools and technologies.
Robust understanding of data modeling and database concepts, with experience working with relational databases.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Etl Testing, Pyspark Professional Bengaluru (India)
🏢 Diverse Lynx
📍 India