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　　About the role

　　You’ll be working within an international group of teams which span from the US till India. This group is responsible for building our Audience Builder application and components which is part of Nielsen’s Advanced Audiences in the Nielsen ONE product suite. Your specific team will be responsible to build data pipelines, services and UIs to support our complex entitlement needs for our current and future web applications.

　　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

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