Senior Data Platform Engineer (Streaming)
On AG
Date de publication :
25 février 2025Taux d'activité :
100%- Lieu de travail :Zurich
Résumé de l'emploi
Chez On, les données sont essentielles pour notre croissance. Rejoignez-nous pour innover!
Tâches
- Contribuer à notre plateforme de données en temps réel.
- Promouvoir les solutions de streaming au sein de l'organisation.
- Développer une infrastructure scalable pour nos besoins en données.
Compétences
- Expérience avec Kafka, Flink, ou technologies similaires requise.
- Compétences en traitement de données en temps réel.
- Capacité à collaborer avec diverses équipes techniques.
Résumé de l'annonce originale
Est-ce utile ?
In short
In the dynamic landscape of On, Data plays a crucial role in accelerating our business growth and operations. We are enhancing our technology landscape to fuel the growth of On, helping to ignite the human spirit through movement.
Your Mission
- Build the Future of Real-Time Data at On: Contribute to the execution and strategy of our streaming data platform, identifying opportunities to leverage real-time data to drive innovation and efficiency across the organization.
- Champion Streaming Solutions: Be a passionate advocate for the power of real-time data and stream processing, effectively communicating its potential and benefits to stakeholders across the technology organization.
- Design and Develop Scalable Infrastructure: Contribute to the design, development, and implementation of a robust and scalable streaming data platform to support On's growing data needs. This includes technologies like Kafka, Flink, Spark Streaming, or similar.
- Ensure Data Quality and Reliability: Implement processes and tools to ensure the quality, reliability, and availability of real-time data pipelines.
- Enable: Work closely with software engineers, data engineers, data scientists and other teams to integrate streaming solutions into On's data ecosystem.
- Embrace New Technologies: Stay abreast of the latest advancements in stream processing technologies and contribute to the continuous improvement of On's data platform.
