We are looking for a Data Engineer with strong skills in Java and Spring Boot to design and build scalable data solutions for one of our client programs.

The role focuses on developing robust backend services and data pipelines, enabling 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.

The ideal candidate should be comfortable working in a distributed, fast-paced environment, collaborating with cross-functional teams to deliver reliable and efficient data solutions. This role provides an opportunity to contribute to end-to-end data engineering initiatives, from development to deployment and support.

Key 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

   

Required Skills:

• 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 plus

Key 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

Required Skills:

• 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 plus