Hybrid Data Engineer - Java/Spring Boot & Kafka

EXL; New York (NY); Hybrid; USD 110,000 - 150,000; Full time

Job summary

EXL in New York is seeking a Data Engineer to design and build scalable data solutions using Java and Spring Boot. You will develop robust backend services and data pipelines, enabling seamless data integration across enterprise systems in a distributed, fast-paced environment.

Join a cross-functional team and contribute to end-to-end data engineering initiatives, from development to deployment and support, with modern tech such as Kafka, Oracle, REST APIs, and Docker in a hybrid work setup.

Qualifications

• 5+ years of experience in data engineering or related field.
• Strong Java development experience.
• Experience with Spring Boot.
• Experience with Apache Kafka.
• Strong SQL experience with Oracle.
• Experience in building REST APIs and data integrations.
• Familiarity with JSON/XML formats and Docker.

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)
• 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

Skills

Java development

REST API design

Data integration patterns

JSON/XML familiarity

Tools

Spring Boot

Apache Kafka

Oracle databases

Docker

MongoDB

REST APIs

Job description

EXL in New York is seeking a Data Engineer to design and build scalable data solutions using Java and Spring Boot. You will develop robust backend services and data pipelines, enabling seamless data integration across enterprise systems in a distributed, fast-paced environment.

Join a cross-functional team and contribute to end-to-end data engineering initiatives, from development to deployment and support, with modern tech such as Kafka, Oracle, REST APIs, and Docker in a hybrid work setup.