Senior Data Engineer
- Develop and maintain data pipelines that efficiently process and transform production data into formats suitable for analytics and machine learning applications.
- Design and optimize scalable databases and implement robust infrastructure solutions to support real-time data integrity and model performance monitoring.
- Collaborate with data scientists to deploy machine learning models into production, ensuring automated training, evaluation, and deployment workflows are in place.
- Create and enhance RESTful APIs using FastAPI to securely and efficiently expose data and model predictions to relevant teams and services.
- Foster collaboration with cross-functional teams by aligning technical solutions with business objectives, while implementing best practices and infrastructure as code for automation.
- Python Expertise: Strong programming skills, especially in Python, for developing scalable APIs and data pipelines.
- Database Proficiency: Advanced knowledge of SQL databases and optimization techniques to support real-time analytics.
- Cloud Technologies: Hands-on experience with AWS or Azure for deploying and managing data infrastructure.
- AI/ML Integration: Practical experience in deploying, monitoring, and automating the lifecycle of machine learning models.
- Infrastructure as Code: Skilled in tools like Terraform, GitHub Actions, or CloudFormation for automating deployment workflows and ensuring system reliability.
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