Data Engineer

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. #J-18808-Ljbffr