
10,000+ employees
Founded 1923
📱 Media
💰 Post-IPO Debt on 2023-02
Media • Data Analytics • Marketing
Nielsen is a global measurement and data analytics company that provides audience measurement and media metrics solutions across various platforms. They offer cross-media measurement services spanning TV, digital, streaming, and audio for more precise media planning and marketing optimization. Nielsen's flagship product, Nielsen ONE, integrates these services to deliver a comprehensive view of audience habits and preferences. Additionally, they offer insights and tools for understanding consumer behavior and optimizing marketing strategies, backed by a robust data infrastructure including big data and panel methodologies. Nielsen also champions diversity and inclusion, emphasizing a culture supported by a diverse workforce and numerous business resource groups.
🕒 June 2
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10,000+ employees
Founded 1923
📱 Media
💰 Post-IPO Debt on 2023-02
Media • Data Analytics • Marketing
Nielsen is a global measurement and data analytics company that provides audience measurement and media metrics solutions across various platforms. They offer cross-media measurement services spanning TV, digital, streaming, and audio for more precise media planning and marketing optimization. Nielsen's flagship product, Nielsen ONE, integrates these services to deliver a comprehensive view of audience habits and preferences. Additionally, they offer insights and tools for understanding consumer behavior and optimizing marketing strategies, backed by a robust data infrastructure including big data and panel methodologies. Nielsen also champions diversity and inclusion, emphasizing a culture supported by a diverse workforce and numerous business resource groups.
• Architect & Design our flagship metadata software solutions. • Design applications with a Platform-first mentality where scale, consistency and reliability are at the core of every decision. • Responsible for driving Technology & good practices in Engineering in their respective teams. • Partner with the Product team to translate vague business requirements into concrete, feasible technical roadmaps. • Actively participate in development along with team members for as much as 60% of their time, creating modules & systems that can then be treated as a working reflection of the best practices. • Cross-System Integration ensuring data flow seamlessly & consistently across ingestion, processing and data deliveries to end customers. • Work closely with Data Science, DevOps, and Frontend architects to ensure our backend infrastructure supports emerging needs. • Being responsible for Scaling, Performance & Quality. • Experiment with new & relevant technologies and tools, and drive adoption while measuring yourself on the impact you can create. • Implementation of long-term technology vision for your teams. • Creating architectures & designs for new solutions around existing and new problem spaces. • Responsible for the architecture of your platform; ensuring it is aligned to the long term requirements and the platform vision. • Drive technology & tool choices for your team & be responsible for them. • Drive technology forums & rhythms in the team to drive best practices. • Establish organization-wide engineering standards (coding guidelines, API contracts, security protocols, design standards) to ensure consistency across different teams. • Mentor and guide Senior engineers, fostering a culture of learning and collaboration within the team. • Going beyond your role and contributing to make the organization & business better.
• Bachelor’s degree in Computer Science, Engineering, or a related field • 10+ years of professional experience in software development • Experience in designing, developing and scaling enterprise grade applications, including developing solutions from scratch. • In depth knowledge and proficiency of messaging queue concepts • Proficiency in Java/Python frameworks such as Spring, Hibernate, or similar. • Experience with RESTful APIs and microservices architecture. • Familiarity with front-end technologies (e.g., HTML, CSS, JavaScript) is a plus. • Working knowledge of machine learning and data science concepts • Champion of SDLC practices. • Understanding of software development methodologies (Agile, Scrum, etc.). • Strong problem-solving skills and the ability to work independently as well as in a team environment. • Strong understanding of application development, infrastructure management, data engineering and platform constructs. • Deep understanding of various datastores: SQL & NoSQL. • Excellent communication and interpersonal skills. • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud). • Familiarity with containerization technologies (e.g., Docker, Kubernetes). • Knowledge of CI/CD tools and practices. • Experience with test-driven development (TDD) and automated testing frameworks.
• Competitive salary and benefits package • Opportunities for professional growth and development • A collaborative and inclusive work environment
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