Salary:
* Competitive compensation package
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.
The ideal candidate will have a strong background in Python programming, data processing frameworks, and workflow orchestration tools.
You will collaborate with data scientists and business stakeholders to implement machine learning solutions for fraud detection, risk assessment, and financial forecasting.
Your primary focus will be on designing, developing, and maintaining scalable data pipelines using PySpark, Airflow, and AWS services.
Key Responsibilities:
* Design and develop data pipelines using PySpark and Airflow 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.
* Build and maintain deployment pipelines for ML models using SageMaker and other AWS services.
* Collaborate with data scientists to implement machine learning solutions for fraud detection, risk assessment, and financial forecasting.
* Ensure data quality, reliability, and security across all data engineering workloads.
Required Skills and Qualifications:
* 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.
* Experience with workflow orchestration tools, particularly Airflow.
* Hands-on experience with AWS stack, especially SageMaker, Lambda, S3, and other relevant services.
* Working knowledge of machine learning model deployment and monitoring in production.
* Experience with data modeling and database systems.
Benefits:
* Award-winning company culture
* Professional development opportunities
* Diverse and inclusive team environment
Others:
* Familiarity with containerization (Docker) and CI/CD pipelines is highly desirable.
* Excellent problem-solving skills and ability to work in a fast-paced fintech environment are required.