Job Description
We are seeking an experienced Data Engineer with strong MLOps expertise and machine learning modeling experience in the financial domain. In this role, you will be responsible for building robust data pipelines and ML infrastructure to support our payment processing systems, fraud detection algorithms, and financial analytics solutions.
Key Responsibilities:
* Design, Develop, and Maintain Scalable Data Pipelines
* Implement and Optimize MLOps Infrastructure on AWS
* Build and Maintain Deployment Pipelines for ML Models
* Collaborate with Data Scientists and Business Stakeholders
* Ensure Data Quality, Reliability, and Security
* Optimize Data Architecture
* Implement Monitoring and Alerting Systems
Requirements:
* 3-5 Years of Experience in Data Engineering with a Focus on MLOps
* Strong Proficiency in Python Programming and Data Processing Frameworks (PySpark)
* Experience with Workflow Orchestration Tools, Particularly Airflow
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* Working Knowledge of Machine Learning Model Deployment and Monitoring
* Experience with Data Modeling and Database Systems (SQL and NoSQL)
* Knowledge of Financial Services or Payment Processing Domain is Highly Desirable
* Familiarity with Containerization (Docker) and CI/CD Pipelines
* Excellent Problem-Solving Skills and Ability to Work in a Fast-Paced Fintech Environment