AWS Data Engineer

API Development and Maintenance: Design, develop, and maintain robust backend APIs to expose AI/ML capabilities, ensuring high performance and reliability. Data Pipeline Management: Develop and optimize data pipelines and processes to ensure efficient and seamless data flow, supporting the integration of AI/ML models. Cross-functional Collaboration: Collaborate closely with frontend developers and data scientists to integrate backend APIs into applications, ensuring cohesive and efficient functionality. Security and Scalability: Implement best practices to ensure the security, scalability, and resilience of backend services, protecting data integrity and supporting growth. Performance Optimization: Monitor and optimize the performance of backend services, identifying and addressing bottlenecks and ensuring smooth operation under varying loads. Code Quality and Standards: Maintain high standards of code quality and documentation, adhering to industry best practices and contributing to continuous improvement initiatives. Testing and Debugging: Develop and execute comprehensive test plans to identify and resolve defects, ensuring the robustness and reliability of backend services. Version Control and Deployment: Utilize version control systems and continuous integration/continuous deployment (CI/CD) pipelines to manage codebase changes and streamline deployment processes. Technical Documentation: Create and maintain detailed technical documentation for backend APIs, ensuring clarity and accessibility for all stakeholders. Continuous Learning: Stay updated with the latest trends, tools, and technologies in backend development and AI/ML, applying new knowledge to enhance system capabilities and performance.

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