Nielsen Marketing Cloud’s big-data group is looking for a highly skilled team lead with a strong passion for data and cutting-edge technologies. We process 25TB of data each day in a highly distributed system running hundreds of instances in the cloud and storing data in modern NoSQL DBs like Aerospike. Our system has to be highly performant yet cost effective, scale up and down yet at the same time adhere to a strict SLA.

This role combines technical expertise with leadership skills to successfully deliver software products while mentoring and supporting the team. Your focus will be on building and maintaining highly distributed, scalable, high-performing, and cost-effective systems.

We use the latest cloud and data technologies and constantly like to experiment with new ones, so if you are passionate about data, cutting-edge technologies, love to learn, experiment, and make your projects shine, this is the place for you.

Technical Skills

• A degree in computer science or equivalent

• At least 6+ years of hands-on experience in server-side development working on several complex projects

• At least 5 years of experience as a software team lead

• Experience working with Java and Java frameworks

• Experience with distributed systems

• Excellent problem-solving and analytical skills

Soft Skills

• Lead a team of software engineers

• Tracks all project-related activities, including tasks, timelines, and team member roles

• Ability to transform a user story/concept into a working scalable system

• Present your ideas and drive to decisions Ability to self-start and push projects forward toward completion

• Be able to handle multiple tasks simultaneously, meet deadlines, effectively manage priorities and communicate progress

• Be able to take an idea from the ideation stage to incubation, architecture / planning / execution phase

• Love to bring fresh ideas and out of the box thinking to the projects you are working on

• Passion for learning and finding that unexpected solution

Skills that are an advantage

• Experience with cloud services, preferably on AWS

• Additional languages such as Scala and Python

• Fluency in SQL

• Strong understanding of data modeling, database design, data warehousing concepts and distributed systems principles

• Experience with data-driven technologies such as Airflow, Spark, Kafka and Flink

• Experience with RDBMS and NoSQL databases

• Experience with Dockers and Kubernetes

• Experience with continuous deployment tools like GitLab pipelines, Terraform and Ansible