Data Engineer (37113)

I am seeking a medior Data Engineer to design, build, and optimize data pipelines for model training and inference systems. You will handle structured and unstructured data sources, optimize performance and reliability, develop robust logging and monitoring solutions, and much more. Ideal candidate has a BA/MA degree in a relevant field, and is skilled in Python and cloud computing platforms like Azure, AWS, GCP, and has an understanding of big data technologies. Your knowledge of version control, frequent commits, unit tests, CI/CD, packaging; should be on point. Excellent problem-solving skills and attention to details is a must. Apply now and take your career to the next level.

🚀 Project
- design, build, and optimize data pipelines for model training and inference systems
- collaborate with data scientists and machine learning engineers
- architect and implement scalable systems for model inference, data retrieval, and acquisition
- optimize performance and reliability to handle large-scale data processing
- develop robust logging and monitoring solutions for AI systems
- ensure traceability, debugging, and performance monitoring across the AI platform
- work seamlessly with both structured and unstructured data sources
- ensure all data engineering practices comply with company policies and industry regulations

🎯 Skills
- 3+ years of relevant experience
- Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field
- Python
- cloud computing platforms (Azure, AWS, GCP)
- big data technologies and distributed computing frameworks
- RDBMS/NoSQL data stores and appropriate use cases
- Data as Code; version control, small and regular commits, unit tests, CI/CD, packaging
- understanding of AI/ML principles and practices
- strong problem-solving skills and attention to detail.
- good communication skills
- fluent English

💡 Nice to have
- Infrastructure as Code 
- familiarity with containerization tools such as Docker and Kubernetes