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 both Senior and Software Engineers to join our Gracenote Tech team. The ideal candidates would have a passion for Clean Code, scalable architectures, Test Driven Development and DevOps.
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.
Job Description:
Evaluate, contribute to, and leverage open source technologies including Kubernetes, Trino, Spark, Airflow, Prometheus + friends, ELK, Jupyter, and more in order to create and enhance our internal SaaS/PaaS platforms.
Design software with a Product-owner mentality: your software is the product and as such you own the product as much as any business person does.
Work within small, highly configurable teams to deliver software in rapid increments using an iterative approach.
Develop applications to catalog and power the world’s largest entertainment metadata repository across the Video, Audio, Automotive and Sports verticals.
Interact with Product, Editorial and Client Experience teams to constantly refine the Gracenote offering.
Role Requirements:
Passionate about software development and DevOps
Competency in SQL and scripting in bash or some other scripting language
5+ years of work experience with a programming language such as Python, Scala, Go, Pyspark, Hadoop
A solid grasp of computer science fundamentals: data structures, algorithms, memory management and distributed systems
Experience with Unix/Linux based platforms. A degree in computer science, engineering, math or related fields
