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About the Role

Design and build scalable data solutions, focusing on developing robust backend services and data pipelines for seamless data integration across enterprise systems. You will work on event-driven architectures, API-driven integrations, and high-performance data processing solutions using modern technologies in a distributed, fast-paced 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
• MongoDB
• NoSQL

Salary/Compensations

• $130,000 - $150,000