Senior Data Engineer
BiorenderFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
NielsenIQ offers a flexible working environment, volunteer time off, LinkedIn Learning, and an Employee-Assistance-Program (EAP).
The position is on-site.
Required skills include expertise in Databricks and Python, minimum 6 years in Big data technologies, strong knowledge of Data Structures and Algorithms, experience with large data sets, SQL, cloud platforms like Snowflake, Azure, AWS, and problem-solving skills. An engineering degree in Computer Science or related field is also needed.
This information is not specified in the job description.
A strong candidate has at least 6 years in Big data technologies with expertise in Databricks and Python, proven solution design experience, hands-on skills with large datasets and cloud platforms, plus an engineering degree.
Global measurement and data analytics provider
Nielsen provides measurement and data analytics services to help businesses understand consumers and markets globally. The company operates through two main divisions: Nielsen Global Media, which offers reliable metrics for the media and advertising industries, and Nielsen Global Connect, which supplies consumer packaged goods manufacturers and retailers with actionable insights about the marketplace. Nielsen combines its proprietary data with other sources to give clients a comprehensive view of current trends and future opportunities. With a presence in over 100 countries, Nielsen aims to support companies in making informed decisions to drive innovation and growth.