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As a QA Engineer at Nielsen, you will be responsible for software testing and development, focusing on test automation and debugging. You will work with Java microservices deployed on AWS, and collaborate within an Agile environment to enhance continuous integration and deployment processes. Strong attention to detail and effective communication are essential for documenting test cases and results.

The Engineering Manager will lead a data team to architect and deploy solutions for entertainment metadata pipelines. Responsibilities include mentoring team members, improving SDLC processes, collaborating with Data Science, translating business requirements into technical solutions, and staying updated on technology trends.

As a Sr. Data Engineer at Nielsen, you will build scalable and reliable solutions for cloud and on-premises systems, emphasizing best practices in coding and performance. Responsibilities include developing cloud-based applications, collaborating with Data Science, mentoring junior members, and driving innovative solutions within the Big Data analytics framework.

The QC Analyst will manage daily reports and QA checks, analyze data, communicate findings to operations teams, deliver data to clients, escalate production issues to engineering, and implement client requests related to data quality. Weekend work is required, with compensation provided for extra hours.

The Senior SAP SuccessFactors Analyst will optimize Employee Central and the Lever ATS by overseeing requirements gathering, system configuration, and support. This role involves collaboration with HR and IT teams, troubleshooting system issues, conducting audits, and providing end-user training while leading system enhancement projects.

The Senior Software Engineer will evaluate and develop software using open source technologies, focusing on improving internal SaaS/PaaS platforms. They will work with teams to deliver software iteratively, contribute to an extensive entertainment metadata repository, and collaborate with Product and Editorial teams to enhance the offerings.

The Software Engineer will work on analyzing, developing, testing, and supporting Big Data applications as part of a DevOps team. Responsibilities include designing, coding, and testing software, maintaining automated test cases, collaborating with cross-functional teams, and ensuring project alignment with business objectives.