At Nielsen, we believe that career growth is a partnership. You ultimately own, fuel and set the journey. By joining our team of nearly 14,000 associates, you will become part of a community that will help you to succeed. We champion you because when you succeed, we do too. Embark on a new initiative, explore a fresh approach, and take license to think big, so we can all continuously improve. We enable your best to power our future.
ABOUT THIS JOBWe're looking for a Data Engineer to join our Campaign Analytics team. The Campaign Analytics suite of products utilize survey based datasets to measure, analyze, and report on Advertisement effectiveness.
As a Data Engineer, you will work alongside data scientists and engineers, to build a data platform on AWS to ingest data from external sources and perform ETL tasks. The role requires you to have experience working with large datasets with complex schemas, a can-do approach towards automation, with an emphasis on the implementation of best practice cloud security principles.Our culture is inclusive and we have a healthy work life balance.If you're passionate about problem solving, enjoy continuous learning, like building new things; we want to hear from you!
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Responsibilities
- Collaborate with product owners to understand requirements and design new components.
- Collaborate in cross-functional teams to implement, test and deploy features.
- Perform code reviews.
- Build and maintain development environments and CI/CD workflows.
Preferred Qualifications
- BS or MS in Computer Science.3+ years with mainstream programming languages (Python, C++, C, Java, etc.).
- Strong knowledge of programming concepts and paradigms.
- Basic understanding of data lakes / data warehousing.
- Experience with SQL and relational database systems.
- Experience writing automated tests.
- Excellent communication skills.
- Experience working in Cloud environments.
- Experience working in an agile environment.
- Experience with popular AWS services (S3, RDS, EC2, etc.).
- Experience with popular developer tools (Git, Docker, Github/Gitlab).
- Familiarity with orchestration tools such as Apache Airflow.
- Familiarity with big data processing tools such as Spark, EMR, Presto.