About
Locations: New York (Tristate area)
Type: Full-time - Onsite
Experience: 10 to 12 years
Functions: Consulting, Finance, Information Technology, Data Engineering & Analytics
Job Description 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)
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 with MongoDB or other NoSQL databases
Experience in building and consuming REST APIs
Knowledge of data processing and integration patterns
Familiarity with JSON/XML data formats
Understanding of Docker/containerization.
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Languages
- English
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