Data Engineer Senior H/F
Tasks
- Collaborate with data scientists and business teams
- Deploy and monitor machine learning models
- Design scalable data architectures
- Ensure data quality, reliability, and governance
- Implement MLOps workflows
- Improve data platform performance cost and security
- Industrialize data pipelines
- Lead junior engineers
Perks/Benefits
- Career development
- Employee referral program
- Meal tickets
- Mobility assistance
- Paid time off
- Social and cultural activities
- Telework
- Training programs
Skills/Tech-stack
Amazon Web Services | Apache Airflow | Apache Kafka | Apache Spark | Azure | Batch Processing | CI/CD | Cloud platform | Data Lake | Data Processing | Data Warehouse | Docker | Git | Google Cloud | Google Cloud Platform | Kubernetes | MLOps | Machine Learning | PyTorch | Python | Real Time | Real-time Data | Real-time Data Processing | SQL | Scikit-learn | TensorFlow | Web Services
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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