Data Engineer

Job Title: Data Engineer
Location: Remote
Term: March 21, 2025 - March 31, 2026

Job Description: We are seeking a highly skilled Python Developer with experience in implementing machine learning models in AWS SageMaker. This role involves developing and deploying Python-based models, working with cloud infrastructure, and ensuring data pipelines run efficiently and effectively within AWS services. The ideal candidate will be comfortable working in a cloud-native environment, specifically leveraging AWS services like Redshift, S3, and SageMaker to create and maintain scalable solutions.

Key Responsibilities:

• Design, develop, and implement Python-based models in AWS SageMaker.
• Deploy and manage machine learning models and data pipelines in a cloud environment.
• Work with AWS Redshift, S3, and other AWS services for efficient data storage and processing.
• Collaborate with data engineers and other technical teams to integrate models and improve performance.
• Troubleshoot and optimize model performance in a cloud-based environment.
• Contribute to maintaining code quality, documentation, and version control.

Required Experience and Skills:

• Proven experience implementing Python models within AWS SageMaker.
• Strong proficiency in Python programming and scripting.
• Hands-on experience with AWS Redshift and S3 for data storage and analytics.

Nice to Have:

• Experience in implementing credit risk models.
• Familiarity with AWS Glue for ETL processes and data integration.
• Knowledge of AWS and Infrastructure as Code (Terraform, CloudFormation, CDK).
• Experience with data engineering tools, platforms, and approaches.
• Understanding of AWS Identity and Access Management (IAM) for secure and efficient infrastructure management.