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. Normal
About The Job
Around here we’re all numbers people, but it’s the 1s and 0s behind our data that make what we
do possible. Software engineers strike a balance between precision and disruption, between
reliability and innovation. Nielsen is a tech company backed by nearly a century of forward
momentum to show the world what’s next—and we couldn’t have done it without our engineers.
In this role, you will be working alongside data scientists and engineers within Nielsen’s Market
Mix Modeling (MMM) business, to build a data platform on AWS to ingest, combine and process
data from external sources. The role requires you to have experience working with large
datasets and complex schemas, a can-do approach towards automation, with an emphasis on
the implementation of best practice cloud security principles.
RESPONSIBILITIES
Collaborate with product and data science to clarify requirements and design processing
flows
Collaborate in cross-functional teams to implement, test and deploy features.
Implement efficient, scalable, robust data pipelines along with automated data validation
Identify potential process improvements and recommend suitable tools and changes to
address them
Troubleshoot and optimize data pipelines in a distributed environment
Develop and maintain good programming standards and practices across the ecosystem
Perform code reviews
QUALIFICATIONS
Bachelors in Computer Engineering or related field (Masters preferred)
4+ years of experience programming in Python (C++, Java experts aspiring to work on
Python can also be considered)
4+ years experience with SQL and advanced data systems (Spark, Presto, EMR)
2+ years of experience with public cloud technologies (AWS, GCP, Azure)
Experience building and optimizing data pipelines in a distributed environment
Ability to implement application components without detailed guidance
Experience with common developer tools and practices (Gitlab, Jira, Unit Testing)
Proficiency working in Linux environments
Excellent communication skills and the ability to present complex ideas in a clear and
