Job Description
At Nielsen, we believe that career growth is a partnership. You ultimately own, fuel and set the journey. By joining our team of nearly 14,000 associates, you will become part of a community that will help you to succeed. We champion you because when you succeed, we do too. Embark on a new initiative, explore a fresh approach, and take license to think big, so we can all continuously improve. We enable your best to power our future.
We are seeking a highly skilled and experienced ETL Tester to join our Campaign Analytics team. The Campaign Analytics suite of products utilize survey based datasets to measure, analyze, and report on Advertisement effectiveness. The ideal candidate should have 4-5 years of experience in ETL testing.
We are an agile team that work directly with product owners and collaborate with Data Scientists and Business Intelligence Engineers. Our culture is inclusive and we have a healthy work life balance.
If precision and quality are important to you, you’ll be a right fit to work with us as a Senior QA Automation Engineer at Nielsen. Folks who love to move from development to quality assurance are also welcome to apply.
ROLE DETAILS:Develop and execute comprehensive test plans and test cases for ETL processes, including data extraction, transformation, and loading.Conduct end-to-end testing of data pipelines to validate data integrity, accuracy, and completeness.Create and maintain automated test scripts for ETL processes using testing frameworks and tools.Perform regression testing to identify and mitigate any potential issues or defects introduced during development or system changes.Conduct performance testing to evaluate the scalability and efficiency of ETL workflows and Airflow DAGs.Document test results, defects, and resolution steps in a clear and concise manner.Provide timely feedback to development teams on issues and recommendations for improvements.ROLE QUALIFICATIONS:B.Tech or B.E in Computer Science, Information Technology4-5 years of experience in ETL testing, with a focus on testing data pipelines and data warehouse solutions.Proficiency in SQL for data validation and querying large datasets.Experience with scripting languages especially Python for test automation.Familiarity with version control systems (e.g., Git) and CI/CD pipelines.Strong communication and collaboration skills with the ability to work effectively in a team environment.Experience working in an Agile development environment.Estimated Salary Range
Our AI-powered salary intelligence estimates this position’s salary to be between $12,000 - $15,000. The actual salary may vary based on factors such as experience, location, and market trends.
