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As a Senior Software Engineer, you will be responsible for developing scalable and robust software solutions using Java and SpringBoot. You will collaborate with cross-functional teams, mentor junior developers, and stay updated on the latest technologies. Key responsibilities include system integration, API development, and technical leadership.

Design and implement new features and enhancements to complex analytics products, collaborate with cross-functional teams, use modern programming languages and data management tools, integrate solutions, provide technical feedback and mentorship.

As a Senior Data Engineer at Nielsen, you will develop and manage scalable data pipelines, collaborate with team leads and backend developers, write tests, optimize applications, and contribute to project management efforts to enhance data processing capabilities.

The Senior Data Scientist will utilize mathematical and econometric models to provide insights and drive decisions, create data visualizations, and collaborate with software engineering to develop web-based analytical solutions. The candidate will also mentor new associates and manage multiple projects simultaneously.

As a Senior Data Engineer, you will contribute to a Scrum/DevOps team by building scalable and reliable cloud and on-premises solutions, implementing end-to-end systems in Big Data analytics, collaborating with Data Science teams, and mentoring junior members, all while adhering to Agile methodologies.

As a Senior Architect at Nielsen, you will be analyzing, developing, testing, and supporting highly complex application software. Responsibilities include building scalable solutions for Cloud and on-premises, converting business requirements to technical solutions, writing technical documentation, and providing cloud integration development support. Qualifications include 10-12 years of experience with a Bachelor's degree, strong communication and analytical skills, expertise in Java, Python, SQL, AWS, Oracle, and experience in Agile scrum methodology.

Verify and process TV Listings information, data entry and editing of TV scheduling information, research content, validate database information, and self-manage KPI goals daily.