Offer summary
Qualifications:
+5 years of experience in Data Engineering, MLOPs or DataOps, Expert knowledge of relational and NoSQL databases, Proficient in ETL/ELT processes and tools, Experience with asynchronous micro-services and Kafka, Fluent in English, German is a plus.
Key responsabilities:
- Lead development of data infrastructure for AI pipelines
- Build real-time ETL pipelines from diverse sources
- Implement monitoring and governance solutions for efficiency
- Track trends in Data Engineering to improve operations
- Devise flexible NoSQL data models for AI services