Job Description
This role sits within our Data Engineering team. The team builds highly-scalable, high-throughput, low-latency Java applications that move and transform data from thousands of sources at Petabyte scale powering everything from real-time trading to analytics.You’ll work on a mix of greenfield and re-engineering projects, collaborating with developers globally to build scalable, reliable data platforms. Balancing speed with quality, you’ll write robust, testable software and make thoughtful trade-offs between latency, throughput, simplicity and maintainability.
Your core responsibilities include:
- Design, build, test and deploy high-performance Java systems for real-time and batch data processing.
- Develop tools and services around Kafka, Avro, Parquet and related streaming technologies.
- Contribute to internal frameworks for querying, storage, and data transformation — used globally across IMC.
- Partner with traders, researchers, and engineers to define requirements and deliver scalable data solutions.
- Own projects end-to-end, from requirements and architecture through to production deployment and monitoring.
- Continuously assess and introduce emerging technologies to improve performance, maintainability, and developer productivity..
Your Skills and Experience:
- 5+ years of experience as a Software Engineer with Java
- Experience in the latest versions of Java is highly desirable
- Proven experience building scalable, low-latency, high-throughput applications.
- Familiarity with Kafka, Avro, Parquet and other data-oriented technologies is highly desirable.
- Experience with Docker and Kubernetes, and confidence working in Linux environments.
- Strong analytical and troubleshooting skills, with the ability to solve complex technical challenges independently.
- Experience gathering business requirements and translating them into technical solutions.
- Curious, adaptable, and proactive; comfortable working in a fast-paced environment with minimal supervision.
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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