Job Description
Our NielsenIQ Technology teams are working on our new “Connect” platform, a unified, global, open data ecosystem powered by Microsoft Azure. Our clients around the world rely on NielsenIQ’s data and insights to innovate and grow.
As a DataOps Transformation - Data Engineer, you’ll be part of a team of smart, highly skilled technologists who are passionate about learning and prototyping cutting-edge technologies. Right now our platform is based in Java, Angular, Spring Boot, Apache NiFi, Mongo, Postgres and Snowflake, and we continue to adopt the best of breed in cloud-native, low-latency technologies. We value CI/CD in everything that we develop. Our team is co-located and agile, with central technology hubs in Chicago, Madrid and Chennai.
WHAT YOU’LL DO:
- Design data pipelines for machine learning to increase efficiency in US Data Operations
- Piping and processing massive data-streams in distributed computing environments
- Create harmonized data pipelines with predictive modeling algorithms
- Drive projects that can be effectively supported by ops and tech teams
- Create an open ecosystem for Data Operations and other Nielsen functions to more quickly access and analyze data
Qualifications
- Ability to collaborate and influence with other functional areas as a team and deliver results on-time
- Ability to present and explain methods and operational solutions to executive leadership
- Expertise in Python/Pyspark or other Big Data architecture (Hive/Hadoop)
- Deep understanding of Data Engineering and Warehousing techniques with SQL
- Experience building/accessing API’s with a python framework using CI/CD framework
- Excellent English communication skills, with the ability to effectively interface across cross-functional technology teams and the business
- 1-2 years of experience in quantitative analysis, and a strong educational background in an engineering or technical field
- Minimum B.S. degree in Computer Science, Computer Engineering or related field
Additional Information
About NielsenIQ
NielsenIQ is a global measurement and data analytics company that provides the most complete and trusted view available of consumers and markets worldwide. We provide consumer packaged goods manufacturers/fast-moving consumer goods and retailers with accurate, actionable information and insights and a complete picture of the complex and changing marketplace that companies need to innovate and grow. Our approach marries proprietary NielsenIQ data with other data sources to help clients around the world understand what’s happening now, what’s happening next, and how to best act on this knowledge. We like to be in the middle of the action. That’s why you can find us at work in over 90 countries, covering more than 90% of the world’s population. For more information, visit www.niq.com.
NielsenIQ is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class.
About NielsenIQ
NielsenIQ is a global measurement and data analytics company that provides the most complete and trusted view available of consumers and markets worldwide. We provide consumer packaged goods manufacturers/fast-moving consumer goods and retailers with accurate, actionable information and insights and a complete picture of the complex and changing marketplace that companies need to innovate and grow. Our approach marries proprietary NielsenIQ data with other data sources to help clients around the world understand what’s happening now, what’s happening next, and how to best act on this knowledge. We like to be in the middle of the action. That’s why you can find us at work in over 90 countries, covering more than 90% of the world’s population. For more information, visit www.niq.com.
NielsenIQ is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class.