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About the Role

Design and build scalable data solutions using Java and Spring Boot, focusing on developing robust backend services and data pipelines for seamless data integration across enterprise systems. This role involves working with event-driven architectures, API-driven integrations, and high-performance data processing solutions in a fast-paced, distributed environment.

Responsibilities

• Design, build, and unit test Java-based applications for data processing
• Develop backend services using Spring Boot and REST APIs
• Build data pipelines integrating data from relational databases (Oracle)
• Implement event-driven data pipelines using Kafka (or MSK)
• Develop and expose APIs for data access and integration
• Work with structured and semi-structured data formats (JSON, XML, etc.)
• Optimize application performance for high-volume data processing
• Deploy applications using Docker containers
• Participate in code deployment and release processes
• Monitor and troubleshoot applications
• Create documentation for usage, deployment, and support
• Participate in agile development (scrum) and collaborate with cross-functional teams

Requirements

• Strong hands-on experience in Java development
• Experience with Spring Boot framework
• Experience working with Apache Kafka (event-driven architecture)
• Strong experience with Oracle databases and SQL
• Experience in building and consuming REST APIs
• Knowledge of data processing and integration patterns
• Familiarity with JSON/XML data formats
• Understanding of Docker/containerization
• Experience with MongoDB or other NoSQL databases is a plus

Skills

• Java
• Spring Boot
• REST APIs
• Apache Kafka
• Oracle databases
• SQL
• JSON
• XML
• Docker
• Containerization
• MongoDB
• NoSQL databases

Salary/Compensations

• $130,000-$155,000