Data Engineer - Azure, Spark & ETL for Risk Analytics
Summary
Design and maintain scalable Azure-based data pipelines using Spark/Databricks and ETL to deliver high-quality datasets for risk analytics and ML.
SGS Société Générale de Surveillance SA is seeking a data engineering professional to design and maintain scalable data pipelines, migrating applications to Azure and building robust data platforms. You will collaborate with risk analysts to deliver high-quality datasets for analytics and ML, while ensuring security and governance across cloud-based data systems.
The role emphasizes ETL design, Spark/Databricks expertise, and strong SQL skills, with a focus on delivering reliable data services