Senior Data Engineer - (Spark, Presto, Pandas, RDS, EC2, S3, Athena, Lambda)

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. As a Software Data Engineer you will be responsible for data pipelines to work on both scheduled and real time use cases. Schedule pipelines run typically in Airflow and real time processing could be airflow or integrated querying in backend services.

Responsibilities

• Work closely with team leads and backend developers to design and develop functional, robust data pipelines to support internal and customer needs
• Write unit, integration, and DQA tests, and develop automation tools for daily tasks
• Develop high quality, well documented and efficient code
• Manage and optimize scalable pipelines in the cloud
• Optimize internal and external applications for performance and scalability
• Communicate regularly with project managers, quality engineers, and other developers regarding progress on long-term technology roadmap
• Recommend systems solutions by comparing advantages and disadvantages of custom development and purchased alternatives

Key Skills