Senior Software Engineer - Data
Job Summary
Job Description
As a Senior Software Engineer - Data at Nielsen's Marketing Cloud, you will design, build, and manage data architecture for various projects ranging from serverless to big data pipelines. You'll focus on creating highly distributed, scalable, high-performing, and cost-effective systems. Responsibilities include working with cloud services (AWS preferred), server-side development using Scala/Java and SQL, data modeling, database design, and experience with technologies like Airflow, Spark, Trino, Kafka, Druid, RDBMS/NoSQL databases, Kubernetes, GitLab pipelines, Terraform, and Ansible. The role requires a strong understanding of data warehousing, distributed systems, and continuous improvement. Proficiency in Python is a plus.
Must have:
- 4+ years server-side development experience
- Scala/Java & SQL proficiency
- AWS cloud services experience
- Data modeling & warehousing expertise
- Experience with big data technologies (Airflow, Spark, etc.)
- Kubernetes and CI/CD experience
Good to have:
- Python knowledge
- Experience with Trino, Kafka, Druid
- Experience with Terraform and Ansible
11 skills required
Job Details
Nielsen is a global leader in audience insights, data and analytics, Nielsen shapes the future of media with accurate measurement of what people listen to and watch. This role will be a leader in the Marketing Cloud business unit.
The Nielsen Marketing Cloud (NMC) helps publishers, advertisers and agencies with targetable audience data for programmatic advertising. We connect leading online publishers with advertisers, ad agencies and ad networks who seek to create a more interest-tailored online advertising experience.
QUALIFICATIONS
- Experience with cloud services, preferably on AWS
- A degree in computer science or equivalent At least 4 years of hands-on experience in server-side development working on several complex projects
- Proficiency in programming languages such as Scala (or Java) and SQL.
- Excellent problem-solving and analytical skills.
- Good English (verbal AND written)
- 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
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.
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.
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