Data Engineer II

• Design and automate essential data pipelines and inputs, ensuring seamless integration with downstream analytics and production systems. 

• Collaborate with cross-functional teams to integrate new functionalities into existing data pipelines, including lower test environments to help validate and assess impact prior to Production integration, where applicable. 

• Implement data governance and quality processes to ensure the integrity and accuracy of data throughout its lifecycle.

• Monitor data systems and processes to identify issues and proactively implement improvements to prevent future problems.

• Participate in code reviews with senior developers prior to pushing the code into production to ensure meeting accuracy and best practice standards.

• Perform unit testing using test cases and fix any bugs. 

• Optimize code to meet product SLAs

• Support multiple projects and communicate with stakeholders in various organizations. This includes regularly providing status updates, developing timelines, providing insights, etc.

About the Role

• Nielsen measures the media-consumption habits of homes globally. Our data paints a rich portrait of the audience in those markets we measure. As a pioneer and industry leader in audience measurement for more than half a century, we take pride in our technology and processes, and we are constantly searching for new ways to advance our culture of innovation and growth. 

• The ideal candidate will have a solid background in the Computer Science, Data Science and Analytics or related fields.  Additionally, the candidate demonstrates a history of experience working within the Software Development Life Cycle, and exhibits excellent critical thinking, problem-solving, and interpersonal skills. 

• This role drives the acceleration of data acquisition, ensures the reliability and accuracy of data outputs and enhances the accessibility and discovery of data.  They offer technical guidance and mentorship, uphold data integrity and reusability, and collaborate with diverse teams to meet our extensive data needs.