**Fintech Data Engineering Role**
We are seeking a highly skilled Data Engineer with strong MLOps expertise and machine learning modeling experience in the financial domain.
* Design, develop, and maintain scalable data pipelines using Python, Airflow, and PySpark to process large volumes of financial transaction data.
* Implement and optimize MLOps infrastructure on AWS to automate the full machine learning lifecycle from development to production.
* Collaborate with data scientists and business stakeholders to implement machine learning solutions for fraud detection, risk assessment, and financial forecasting.
**Key Responsibilities**
The ideal candidate will have 3-5 years of experience in Data Engineering with a focus on MLOps in production environments. Strong proficiency in Python programming and data processing frameworks (PySpark) is required. Experience with workflow orchestration tools, particularly Airflow, is also necessary.
**Requirements**
* Strong understanding of machine learning model deployment and monitoring in production.
* 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.