Kenvue is seeking a skilled Analytics Data Engineer to bridge the gap between Operational Technology and data-driven insights within its global team of 22,000 people
Job Summary
Kenvue is seeking a skilled Analytics Data Engineer to bridge the gap between Operational Technology and data-driven insights within its global team of 22,000 people.
The role involves designing and maintaining scalable ETL/ELT pipelines using Databricks and PySpark to process large-scale structured and unstructured data from IoT devices.
Candidates will collaborate with BI teams to structure data for optimized consumption in Power BI while leveraging Microsoft Fabric and Azure Data Lake Storage for modern warehouse solutions.
Matching Summary
Kenvue is seeking a skilled Analytics Data Engineer to bridge the gap between Operational Technology and data-driven insights within its global team of 22,000 people.
Skills & Requirements
Must-have
4+ years Data Engineering experience
PySpark and Databricks expertise
Azure IoT Hub and Event Hubs
Python programming proficiency
Delta Lake architecture knowledge
Power BI data modeling understanding
Nice-to-have
OT environment familiarity
Industrial data protocols knowledge
Solution architecture principles
High-performance code writing
Key Requirements
4+ years professional experience in Data Engineering