Softwareentwickler für wissenschaftliche Applikationen mit Schwerpunkt Big Data im SCRUM-Team bei KWS. Sie entwickeln eine zentrale Anwendung für die Pflanzenzüchtung und Molekularbiologie.
Responsibilities
Replacement of an existing application through a complete redevelopment
Analyze requirements together with domain experts in workshops
Design and implement an appropriate software solution based on .NET, cloud technologies and data pipelines
Migrate a relational system into the data lakehouse to be designed
Implement new or existing data interfaces and services
Take ownership of the backend and an end-user frontend
Ensure the smooth operation of the legacy system
Apply modern DevOps practices to ensure smooth and efficient operation of the software
Requirements
University degree in Computer Science or comparable qualification
Strong knowledge of C# (.NET Core) and Python
Practical experience with distributed systems, ideally in an AWS cloud environment or with Docker and Kubernetes
Practical experience with data lake technologies, such as Databricks or AWS Athena and Apache Spark
Hands-on experience in professional software development (e.g., Dependency Injection, mocking, TDD, CI/CD pipelines)
Confident handling of relational databases (PostgreSQL, Oracle) and general familiarity with AWS technologies
Proficient with Azure DevOps, Jira or GitLab, GIT version control and agile working methods (Scrum)
Bike leasing program (JobRad) & job public transport ticket (Job Ticket)
Health and safety are a top priority; we provide an occupational physician, company fire brigade/paramedics (with compensated time) and company sports activities
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