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. About the role As an Associate 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 pipelines to support internal and customer needs
Write both unit and integration 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
Develop automated tests to ensure business needs are met, and write unit, integration, or data quality tests
Communicate regularly with stakeholders, project managers, quality assurance teams, 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 (Domain Expertise)
0-2 years of experience as a software/data engineer
Bachelor’s degree in Computer Science, MIS, or Engineering
Technical Skills Preferred
Experience with database systems, with knowledge of SQL and NoSQL stores (e.g. MySQL, Oracle, MongoDB, Couchbase, etc.)
Experience on a team developing sophisticated data driven software platforms
Experience with relational databases and/or analytical data stores (e.g., Spark, Presto, Pandas)
Contributing to delivery and support of enterprise software
Experience with cloud service technologies, ex: AWS
Experience with container technologies, ex: Docker
Experience with source control systems, ex: GIT
Information visualization
"Big data" systems and analysis
Experience with data warehouses or data lakes
Mindset and Attributes
Strong communication skills with ability to communicate complex technical concepts and align organization on decisions
Sound problem-solving skills with the ability to quickly process complex information and present it clearly and simply
Utilizes team collaboration to create innovative solutions efficiently
