Senior Data Engineer with AWS

We are looking for a hands-on Senior Java & Data Engineer to support a large-scale application modernization and cloud migration initiative. The role will focus primarily on developing Java/Spring Boot REST APIs and Python-based ETL/data pipelines using Databricks, deployed on AWS., * Design, develop, and maintain scalable REST APIs and backend services using Java and Spring Boot.

• Develop modular, reusable services following microservices and API-first architecture principles.
• Build and maintain Python-based ETL and data-processing pipelines in Databricks.
• Implement data ingestion, transformation, validation, reconciliation, and error-handling processes.
• Integrate backend services with Databricks, AWS services, and other enterprise systems/data sources.
• Containerize applications using Docker and deploy/manage workloads using Kubernetes.
• Develop unit and integration tests and ensure high standards for code quality, security, performance, and maintainability.
• Participate in solution design, code reviews, troubleshooting, performance optimization, and technical documentation.
• Collaborate with architects, frontend developers, data engineers, DevOps teams, and other stakeholders throughout the development lifecycle.
• Support CI/CD, automated deployments, monitoring, logging, and production readiness for cloud-native components.
• Contribute to modernization by translating legacy capabilities into scalable API-driven and cloud-native solutions.
• Leverage modern AI-assisted development approaches where applicable to improve engineering productivity and automation.

The ideal candidate will have strong backend engineering and data-processing experience, with a solid understanding of cloud-native development, containerization, microservices, and modern engineering practices., * Java, Spring Boot, REST APIs

• Strong Python and ETL development
• Strong understanding of microservices and API-driven architectures
• Docker and Kubernetes
• Unit Testing, Integration Testing and API Testing
• Bitbucket and CI/CD
• Strong debugging, problem-solving, and software engineering fundamentals

Secondary / Preferred:

• AWS and cloud-native application development
• Databricks
• PySpark / Apache Spark
• AWS services used for compute, containers, storage, security, integration, monitoring, and data processing
• Data integration and distributed data-processing concepts
• Secure API development and authentication/authorization patterns