Cloudera, Elastic Stack & Dataiku Position Overview We are looking for an experienced Platform Engineer to support, maintain and further develop our Cloudera, Elastic Stack and Dataiku platform environment. The role combines platform operations, solution development,
At Machine Learning Architects Basel (MLAB), we assist and empower people and organizations in designing, building, and operating reliable data and machine learning solutions. In doing so, our data and AI journeys and effective solution patterns
Job description We proudly offer A safe workplace with zero tolerance for harassment. Open environments where people are free to be themselves. An inclusive community that believes in respect and merit. Location : Basel, Geneva, Zurich
At Machine Learning Architects Basel (MLAB), we assist and empower people and organizations in designing, building, and operating reliable data and machine learning solutions. In doing so, our data and AI journeys and effective solution patterns
At Machine Learning Architects Basel (MLAB), we assist and empower people and organizations in designing, building, and operating reliable data and machine learning solutions. In doing so, our data and AI journeys and effective solution patterns
At Machine Learning Architects Basel (MLAB), we assist and empower people and organizations in designing, building, and operating reliable data and machine learning solutions. In doing so, our MLOps journey and effective solution patterns enable our
Jobup in Basel sucht einen erfahrenen Data Engineer zur Gestaltung und Weiterentwicklung der datengetriebenen Organisation. Sie entwickeln skalierbare Data-Warehouse-Lösungen und integrieren Daten aus verschiedenen Quellen. Ideale Kandidaten bringen mehrjährige Erfahrung im Data Engineering und Kenntnisse in
Dein Gestaltungsbereich Gestaltung und Weiterentwicklung unserer datengetriebenen Organisation unter Einbringung eigener Ideen Entwicklung skalierbarer Data-Warehouse- und Reporting-Lösungen (mit Data Vault, dbt und Spark) Integration von Daten aus verschiedenen Quellen und Entwicklung zuverlässiger Datenpipelines Sicherstellung qualitativ hochwertiger Daten