Senior Java Full-Stack Engineer: Market Risk Data

Rose International; Jersey City (NJ); Sur place; USD 140 000 - 180 000; Plein temps

Résumé du poste

Rose International is seeking an experienced Java full-stack developer with strong backend expertise and React UI/UX development capabilities. You will build scalable, high-performance Market Risk technology solutions that query large data lakes stored in Amazon S3 and HDFS, leveraging APIs and data querying tools for reporting and analytics.

The role focuses on optimizing data lake queries and data access, while integrating with modern data platforms like Snowflake and caching systems.

Qualifications

• Expert-level knowledge of core Java concepts, Spring Boot, microservices, OOP and design patterns.
• Hands-on Java full-stack development with React UI/UX and handling large data volumes.
• Strong backend development for scalable, high-performance platforms for data computation and processing.
• Knowledge of data structures, algorithms, distributed systems, and software design patterns.

Responsabilités

• Lead design and implement Market Risk platform components while remaining hands-on.
• Develop scalable, high-performance computing solutions for market risk calculations.
• Build and maintain Java full-stack apps using React JS, Spring Boot, microservices and modern UI/UX.
• Query and optimize large data lakes using S3/HDFS to support analytics.

Connaissances

Java backend

Spring Boot

Microservices

OOP

Design patterns

React JS

UI/UX development

Data processing

Data lakes

Amazon S3

HDFS

APIs

Chatbots & AI

Cloud-native

Snowflake

Redis

Databases

Linux/Unix

Scripting

Regulatory alignment

Leadership

Formation

Bachelor's degree

Master's degree

Outils

React JS

Spring Boot

Docker

Kubernetes

Snowflake

Amazon S3

HDFS

Redis

Pinot

Databases (SQL/NoSQL)

Description du poste

Rose International is seeking an experienced Java full-stack developer with strong backend expertise and React UI/UX development capabilities. You will build scalable, high-performance Market Risk technology solutions that query large data lakes stored in Amazon S3 and HDFS, leveraging APIs and data querying tools for reporting and analytics.

The role focuses on optimizing data lake queries and data access, while integrating with modern data platforms like Snowflake and caching systems.