The Nielsen Company
Information Technology And Services
SeniorMemberTechnicalStaff(Data+Backend)
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“Senior Member Technical Staff (Data + Backend) at The Nielsen Company. Skills: Data Pipelines, Backend Engineering, Large-scale datasets, Cloud Platforms. Develop metadata software solutions. Enhance metadata software solutions”
Industry & Context.
Problem-solving; Troubleshoot complex issues
What They're Looking For.
Must Have
8 to 10 years of professional experience in Backend and Data Engineering, Hands-on expertise in managing large-scale datasets, Hands-on expertise in real-time event processing, Excellent problem-solving skills, Resourcefulness, Creative thinking
Nice to Have
Familiarity with containerization, Familiarity with Dataviz tools
What You'll Do.
Develop metadata software solutions
Enhance metadata software solutions
Design applications with Platform-first mentality
Design data platforms
Develop data platforms
Maintain data platforms
Collaborate to define features
Collaborate to design features
Collaborate to ship features
Ensure performance of data pipelines
Ensure quality of data pipelines
Ensure responsiveness of data pipelines
Ensure performance of applications
Ensure quality of applications
Ensure responsiveness of applications
Design data pipelines
Develop data pipelines
Maintain data pipelines
Architect solutions for managing datasets
Architect solutions for processing datasets
Implement solutions for managing datasets
Implement solutions for processing datasets
Ensure high performance
Write maintainable code
Write extensible code
Conduct design reviews
Ensure robust data governance
Implement data governance frameworks
Maintain data governance frameworks
Troubleshoot complex issues
Resolve complex issues
Ensure minimal downtime
Ensure SLA compliance
Collaborate with cross-functional teams
Translate business requirements into technical solutions
Leverage AI-driven tools
Leverage AI-driven frameworks
Mentor junior engineers
Guide junior engineers
How You'll Work.
Team & Collaboration
Cross-functional teams; Data scientists; Product managers; Junior engineers
Communication Scope
Articulating complex technical concepts; Articulating technical solutions
Process & Methodology
Agile development methodologies
Full Job Description
At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content — wherever and whenever it's consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future. We are looking for a talented Lead Software Engineer with strong programming skills to join our dynamic team. If you are passionate about technology and eager to work on challenging projects, we want to hear from you! Job Purpose * Develop and enhance our flagship Video, Audio, Automotive and Sports metadata software solutions. * Design applications with a Platform-first mentality where scale, consistency and reliability are at the core of every decision. As a Lead Engineer, you will be responsible for designing, developing, and maintaining high-quality, large scale data platforms. You will collaborate with cross-functional teams to define, design, and ship new features, while also ensuring the performance, quality, and responsiveness of our data pipelines and applications. Key Responsibilities * Design, develop and maintain scalable and robust data pipelines and systems. * Architect and implement solutions for managing & processing large-scale datasets with fast refresh cycles, ensuring high performance, scalability & accuracy. * Write clean, maintainable & extensible code following best practices & standards. * Conduct design and code reviews to ensure high-quality deliverables and adherence to best practices. * Ensure robust data governance by implementing and maintaining frameworks for data lineage, quality, traceability and
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