Data Engineer

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. 
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. 
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!

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.