About Data Engineering in Fintech
">
">
* At our organization, we strive to deliver cutting-edge fintech solutions through collaboration with prestigious entities.
">
">
We are seeking an experienced Data Engineer with strong MLOps expertise and machine learning modeling experience in the financial domain.
">
Key Responsibilities:
">
">
* Data Pipeline Development: Design, develop, and maintain scalable data pipelines using Python, Airflow, and PySpark to process large volumes of financial transaction data.
">
* MLOps Infrastructure: Implement and optimize MLOps infrastructure on AWS to automate the full machine learning lifecycle from development to production.
">
* ML Model Deployment: Build and maintain deployment pipelines for ML models using SageMaker and other AWS services.
">
* Collaboration: Collaborate with data scientists and business stakeholders to implement machine learning solutions for fraud detection, risk assessment, and financial forecasting.
">
* Data Quality and Security: Ensure data quality, reliability, and security across all data engineering workloads.
">
* Data Architecture Optimization: Optimize data architecture to improve performance, scalability, and cost-efficiency.
">
* Monitoring and Alerting: Implement monitoring and alerting systems to ensure production ML models perform as expected.
">
">
Qualifications & Skills:
">
">
* Experience: 3-5 years of experience in Data Engineering with a focus on MLOps in production environments.
">
* Programming Languages: Strong proficiency in Python programming and data processing frameworks (PySpark).
">
* Workflow Orchestration Tools: Experience with workflow orchestration tools, particularly Airflow.
">
* AWS Services: Hands-on experience with AWS stack, especially SageMaker, Lambda, S3, and other relevant services.
">
* Machine Learning Model Deployment: Working knowledge of machine learning model deployment and monitoring in production.
">
* Data Modeling and Database Systems: Experience with data modeling and database systems (SQL and NoSQL).
">
* Financial Domain Knowledge: Knowledge of financial services or payment processing domain is highly desirable.
">
* Containerization and CI/CD Pipelines: Familiarity with containerization (Docker) and CI/CD pipelines.
">
* Problem-Solving Skills: Excellent problem-solving skills and ability to work in a fast-paced fintech environment.
">
">
What We Offer:
">
">
* Opportunity to Work with Cutting-Edge Technology: The opportunity to work with state-of-the-art machine learning and cloud infrastructure.
">
* Dynamic and Fast-Paced Environment: A dynamic team working on advanced financial technology projects.
">
* Professional Growth: The chance to build a career in a growth-oriented environment.
">
">
Apply Now:
">
">
1. Please submit your resume and cover letter.
">
2. We will review your application and contact you if selected for further evaluation.
">
3. If selected, you will be invited for an interview.
">
4. Depending on the outcome of the interview, you may be offered a job position.
">
"],