Job Title: Data Engineer for Financial Technology Solutions
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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.
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About the Role:
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* Design, develop, and maintain scalable data pipelines using Python, Airflow, and PySpark to process large volumes of financial transaction data.
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* Implement and optimize MLOps infrastructure on AWS to automate the full machine learning lifecycle from development to production.
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* Build and maintain deployment pipelines for ML models using SageMaker and other AWS services.
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* Collaborate with data scientists and business stakeholders to implement machine learning solutions for fraud detection, risk assessment, and financial forecasting.
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* Ensure data quality, reliability, and security across all data engineering workloads.
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* Optimize data architecture to improve performance, scalability, and cost-efficiency.
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* Implement monitoring and alerting systems to ensure production ML models perform as expected.
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Requirements and Skills:
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* 3-5 years of experience in Data Engineering with a focus on MLOps in production environments.
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* Strong proficiency in Python programming and data processing frameworks (PySpark).
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* Experience with workflow orchestration tools, particularly Airflow.
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* Hands-on experience with AWS stack, especially SageMaker, Lambda, S3, and other relevant services.
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* Working knowledge of machine learning model deployment and monitoring in production.
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* Experience with data modeling and database systems (SQL and NoSQL).
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* Knowledge of financial services or payment processing domain is highly desirable.
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* Familiarity with containerization (Docker) and CI/CD pipelines.
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* Excellent problem-solving skills and ability to work in a fast-paced fintech environment.
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About Us:
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We are a leading provider of cutting-edge financial technology solutions, dedicated to delivering high-performance payment processing systems, fraud detection algorithms, and financial analytics platforms. Our team collaborates with prestigious organizations to innovate and grow in the fintech industry.
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What We Offer:
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* A dynamic and growth-oriented environment with opportunities for professional growth and development.
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* Collaborative team working on advanced financial technology projects.
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* State-of-the-art machine learning and cloud infrastructure.
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* Opportunities to build and maintain scalable data pipelines and ML infrastructure.
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* Professional training and mentorship programs to enhance skills and knowledge.
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* A competitive compensation package with benefits and perks.
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Contact Information:
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Please submit your resume and cover letter through our online application portal. We look forward to reviewing your application!
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