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Big Data Engineer
3 weeks ago
This opportunity presents a chance to collaborate with an esteemed engineering team working on designing and developing innovative features for a leading product range. As part of this exciting project, you will be responsible for creating applications that provide valuable insights for trading data.
Responsibilities:
- You will work alongside talented engineers in the Big Data team to design, develop, and integrate new capabilities into the Pico Big Data platform.
- Developing applications to provide insights for trading data (order entry, market data, etc).
- Implementing best practice CI/CD methodologies to produce a high-performance system that is secure, easy to deploy and maintainable.
- Developing innovative analytics solutions combining financial services and network data.
- Working as a domain expert to advise and troubleshoot production deployments.
- Collaborating with the Machine Learning team to integrate new algorithms into the platform.
To succeed in this role, you must have:
- Bachelors' Degree in Computer Science or equivalent.
- A strong passion for Computer Science, Big Data, and staying up-to-date with new technologies.
- At least 4 years of experience with Java (or can evidence similar proficiency).
- 3+ years of experience working in Linux/Unix environment.
- A solid understanding of IP networking protocols and systems.
- An ability to write maintainable, modular code while adhering to coding standards.
- The capacity to deliver and code a high-availability and high-performance system.
- A passion for technology, design, and quality – you know what high-quality code looks like, along with appropriate unit/integration/system tests.
Desirable Skills
- Database design and SQL query development.
- Experience with Big Data technologies such as Hadoop, Spark, Kafka, Druid, Presto or similar.
- Experience with RESTful web services.
- Experience with in-memory solutions an advantage.
- An understanding of the concepts and technology ecosystem around both real-time/streaming and batch processing in big data platforms.
- A proven track record developing distributed solutions that support large, complex datasets.
- Prior knowledge of financial services concepts e.g. electronic trading, market data, etc.
- The ability to drive Software Development Life Cycles (SDLC) such as Waterfall, Agile, Kanban, depending on the needs of specific projects.
This is a Hybrid position with weekly time in the office and the flexibility of working from home. Though travel may be required from time to time, it is not expected to be regular or frequent. The role holder will be expected to work whatever hours are necessary for the performance of this role.