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Nielsen Marketing Cloud’s data group is looking for a highly skilled backend developer with a strong passion for data and cutting-edge technologies.

In your role as a senior data developer, you'll design, build, and manage our data architecture,working on different types of projects from serverless to big data pipelines. Your focus will be on achieving highly distributed, scalable, high-performing, and cost-effective systems by continuously exploring improvements.

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.

Check out two of our systems:Processing 55TB of Data/Day on Serverless (https://www.youtube.com/watch?v=Jkx6kVbDpL4) How we've built a multi-petabyte data warehouse using Spark and S3

Requirements - Technical skills

• A degree in computer science or equivalent

• At least 5 years of hands-on experience in server-side development working on several complex projects

• Proficiency in programming languages such as Scala, Java and SQL.

• Excellent problem-solving and analytical skills.

• Good English (verbal AND written)

Soft Skills

• A team memberAbility 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, planning and 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

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

• Experience with data-driven technologies like Airflow, Spark, Trino, Kafka, Druid, Hive and RDBMS/NoSQL databases

• Deep knowledge and experience with Kubernetes

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

• Knowledge in Python