Job Summary
We are seeking a Data Engineer to support the development and enhancement of a Python-based, AWS-native data ingestion platform responsible for moving financial data from source systems into a third-party application. This role focuses on building scalable, secure, and highly reliable data pipelines while ensuring compliance with enterprise data governance, security, and regulatory requirements.

Key Responsibilities
• Design, develop, and maintain data pipeline components across the full data lifecycle, including ingestion, validation, tokenization, transformation, and publishing.
• Build and support scalable data processing solutions using AWS-native services and modern data engineering frameworks.
• Develop and execute unit, integration, end-to-end, and system testing strategies.
• Partner with cross-functional teams during system and user acceptance testing to ensure data quality and platform reliability.
• Ensure compliance with enterprise data governance, security, and regulatory requirements, including the secure handling of sensitive and highly sensitive data.
• Identify, troubleshoot, and remediate application vulnerabilities and security findings across applications, infrastructure, and third-party dependencies.
• Contribute to CI/CD best practices, source control management, and deployment automation.
• Monitor, troubleshoot, and optimize cloud-native data pipelines and processing platforms.
• Support secure, scalable, and reliable cloud-based data engineering solutions.

Required Qualifications
• Strong proficiency in Python.
• Experience building and maintaining production-grade data processing applications.
• Hands-on experience with AWS services, including Lambda, ECS, S3, and DynamoDB.
• Experience with event-driven and streaming architectures.
• Experience designing and developing data ingestion and transformation pipelines.
• Experience implementing CI/CD pipelines and deployment automation.
• Experience with unit, integration, and end-to-end testing methodologies.
• Strong understanding of data security, governance, and compliance requirements.
• Experience supporting the secure handling of sensitive financial or regulated data.
• Ability to troubleshoot complex cloud-native data pipeline and platform issues.

Preferred Qualifications
• Experience with AWS Flink.
• Experience building event-driven architectures and large-scale streaming platforms.
• Experience supporting financial services or other highly regulated environments.
• Familiarity with Infrastructure as Code (IaC) and cloud-native application development.