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. Explore and discover Nielsen! Nielsen is the global standard for entertainment data and technology focusing on audience measurements, audience insights, and audience experience. We are looking for hands-on engineers with proven experience developing, running, and scaling applications and platforms in a production environment. You will work on a highly-focused engineering team implementing applications, platforms, microservices, and handling large sets of data.
SPECIFICALLY YOU WILL:
Be a part of a high performing team developing scalable, reliable, and cost-effective software solutions with an emphasis on quality, performance, resilience, and efficiency.
Work with Product, Operations, and Engineering stakeholders to understand the production and scalability requirements of assigned projects.
Work on several projects with multiple dependencies and complex requirements upstream and downstream and with stakeholders across teams.
Contribute to the design, implementation, deployment, and operation of our production applications, platforms, and pipelines.
REQUIREMENTS
A graduate degree in computer science, or similar discipline.
6+ years of professional software development experience delivering high quality standalone and web applications, platforms, and micro services.
Proficiency with Go in backend and API development.
Proficiency with Javascript/Typescript and React (vue.js experience short term)
Experience with a wide variety of databases (relational, non-relational, graph, in-memory). Preferred PostgreSQL, Cassandra, and Elasticsearch knowledge.
Experience with cloud implementation & architecture, container technologies, and orchestration tools, specifically using AWS, Docker, Kubernetes, and Terraform, as well as general DevOps.
Strong experience designing and implementing APIs, complex microservices, system architecture, and handling big data.
