Senior Data Engineering Consultant (German-speaking)
Tasks
- Analyze customer requirements
- Build data pipeline platforms
- Collaborate with stakeholders and client teams
- Create solution blueprints
- Design data pipeline solutions
- Ensure traceability reliability scalability measurability automation
- Implement MLOps practices
- Implement dataops practices
- Implement devops practices
- Integrate machine learning and LLM systems
- Operate data and ML systems in production
- Provide engineering training
- Share knowledge and advise customers
- Test data and model pipelines
Perks/Benefits
- Entrepreneurial environment
- Hybrid work model
- Knowledge sharing sessions
- Performance oriented customer driven environment
- Supportive team culture
- Team events
Skills/Tech-stack
Agile Development | Amazon Web Services | Apache Spark | Azure | CI/CD | Data Engineering | Data mesh | DataOps | Databricks | DevOps | Distributed Systems | Docker | Hadoop | Kubernetes | Language Models | Large Language Models | MLOps | Machine Learning | Microservices | Microsoft Fabric | NoSQL | REST API | Reliability Engineering | SQL | Snowflake | Web Services
Education
N/A
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