Principal Data Engineer (01323)

Nielsen Global Media collects billions of data points on what consumers watch and buy. We study consumers in more than 100 countries, and help our clients globally identify unmet needs, develop new products and deliver them in an engaging way.  We are constantly evolving, not only in terms of where we measure, or who we measure, but in how our insights can help drive profitable growth.

 

Modern analytics programming: developing, testing and orchestrating econometric, statistical and machine learning modules. Unit, integration and regression testing. Understanding the objective of the deployment of our econometric models, and supervised and unsupervised learning methods. Create various data processing systems for analytic research and development purposes. Design, write, and test modules for Nielsen analytics cloud-based platforms. Extract data from platforms using SQL. Orchestrate modules via directed acyclic graphs using open-source workflow management platforms. Design, document, and present process flows for analytical systems. Partner with our Software Engineering department to build best-of-class and end-to-end cloud-based analytical solutions. Work in an agile development environment. Involves domestic and International travel 1-5 days once per year for in-house operation. May work from home from any location in the U.S. or from any Nielsen office in the U.S. Tools: SQL, Python, Spark.

 

Master’s degree in Computer Science, Data Science, engineering, mathematics, or another quantitative field (foreign equivalent degree acceptable) plus 3 years of experience in delivering analytics software solutions in a production environment (would also accept a Bachelor’s in the same fields plus 5 years of experience).  This must include: 3 years of experience in/with: Python and associated packages including Spark, AWS, S3, Java, JavaScript, and Adobe Analytics or other cloud related technologies, using SQL for querying, extracting, and managing data in a relational database or data stream management system; experience in analytics programming languages, such as Python (with Pandas); parallel processing handling very large volumes of data; and code management tools such as Git. Two (2) years of experience in/with: manage computer program orchestrations either via a defined schedule or based on external event triggers; using open-source management platforms such as AirFlow; working as a member of a team. Involves domestic and International travel 1-5 days once per year for in-house operation. May work from home from any location in the U.S. or from any Nielsen office in the U.S. A reasonable estimate of salary range for a new employee to be offered this role would be between $142,771 to $225,000/ year. M-F, 40 hours/week.

 

 

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