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LILiebherr-Digital Development Center GmbH

Thesis time series databases - Cloud Backend(m/w/x)

Ulm
Full-timeWorking StudentWith Home Office
Data Science

Developing performance-optimized data models for telemetry data in cloud backend systems for digital solutions at a global industrial group. First experience in C# or Go, with database knowledge, essential. Opportunity to gain experience with Docker, Kubernetes, Kafka.

Requirements

  • Experience with databases, ideally time series
  • First experience in C# or Go
  • Basic knowledge in Docker and ideally Kubernetes
  • Ideally experience with Kafka, Redpanda, or MQTT
  • Goal-oriented, independent work and team alignment
  • Profound German and English communication skills

Tasks

  • Research and evaluate time series database technologies
  • Assess database performance against product requirements
  • Develop a performance-optimized data model for telemetry data
  • Implement a backend service for storing incoming data
  • Create a migration strategy for existing time series data
  • Evaluate the performance of the developed solution

Education

  • Currently in higher education

Languages

  • GermanBusiness Fluent
  • EnglishBusiness Fluent

Tools & Technologies

  • C#
  • Go
  • Docker
  • Kubernetes
  • Apache Kafka
  • Redpanda
  • MQTT

Benefits

Modern Office

  • Modern and comforting work environment
  • Space for creative working

Informal Culture

  • Enthusiastic, supportive, open-minded colleagues

Flexible Working

  • Flexible and hybrid working

Competitive Pay

  • Attractive remuneration

Corporate Discounts

  • Employee benefits and discounts
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