IIoT Developer

À propos de Hirschmann Automotive

Hirschmann Automotive est depuis plus de 60 ans un partenaire de développement et de production de modules et de composants électromécaniques pour l'industrie automobile. Ses produits sont utilisés dans le monde entier par toutes les marques automobiles de renom et couvrent en outre toutes les formes d'entraînement disponibles sur le marché. Tu veux faire partie de cette histoire à succès et contribuer à façonner l'avenir de l'industrie automobile ?

Description de l'entreprise

In the field of Digitalization & IT, the focus is on ensuring that our company is always at the cutting edge of technology. The digitalization strategy aims to implement innovative, digital, and sustainable solutions and optimize value creation and administration processes.

We are looking for visionaries who want to shape the digital transformation with us and increase the effectiveness of our processes through advanced technologies and systems.

#SkillCheck

University Degree
Languages: English - Fluent, German represents advantage
Experience in a similar position is an advantage
Advanced database knowledge (Postgre SQL)
Programming language - Python
Analytical and logical thinking
Attention to detail and problem solving

#ChallengeCheck

Collaborate with global teams to understand business requirements and objectives in order to translate them into technical requirements;
Create and maintain PostgreSQL tables for efficient data centralization, storing and retrieval;
Write and optimize SQL queries to extract, transform, and analyze large volumes of data from multiple sources with the final scope of using the data in Grafana dashboards;
Take part in data integration projects, including connecting IoT devices and ensuring seamless data flow across systems using Python or Benthos programming;
Develop, optimize and maintain Grafana Dashboards for live data and historical analysis; Configure Grafana setups, including data source connections, alert management, and custom plugins for enhanced functionality;
Maintain comprehensive documentation of data analysis processes, methodologies, functions and configurations of services.