Hydrology Big Data Engineer — Scalable Data Pipelines
Summary
Builds and maintains scalable cloud-based ETL pipelines to process large hydrological and weather datasets, ensuring data accuracy and performance for water-intelligence applications.
A leading water intelligence firm in Toulouse is seeking a skilled Big Data Engineer to build and operate data pipelines for large volumes of hydrological and weather data. Candidates should have a minimum of 5 years of experience, strong Python programming skills, and a solid understanding of ETL processes. This full-time role requires collaboration with scientists to enhance data accuracy and delivery, ensuring observability and performance optimization through modern cloud technologies and coding best practices.