Full Stack Java Engineer

Job description

Pico fuels the global capital markets community by providing exceptional market data services and customized managed infrastructure solutions. As financial industry experts at the center of markets and technology, we help our clients efficiently scale their business and quickly access markets. From infrastructure to connectivity, we support our clients through the full trading lifecycle. We are a global company headquartered in New York, with offices in Chicago, London, Singapore, Hong Kong and Tokyo. Full Stack Java Engineer The Role This is an opportunity to join a world-leading engineering team working on the design and development of new features and updates on a world class analytics platform. We are at a tremendously exciting stage with extensive innovative work on-going and an exciting vision to fulfil. Responsibilities: - Working alongside talented engineers in the iHub team, you will design, develop, and integrate new capabilities into the platform. Develop applications to provide insights for trading data (order entry, market data, etc) Use best practice CI/CD methodologies to produce a high-performance system that is secure, easy to deploy and maintainable. Develop 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. Requirements : - Bachelors' Degree in Computer Science or equivalent Minimum of 2 years of experience with Java and Python Automated unit-testing and integration testing An understanding of how to write maintainable, modular code while conforming to coding standards An understanding of what it takes to deliver and code a high-availability and high-performance system Passionate about technology, design and quality – you know what high-quality code looks like, together with appropriate unit/integration/system tests. Desirable Skills Database design and SQL query development Experience with technologies such as Hadoop, Spark, Kafka, Druid, Presto or similar Experience with RESTful web services Experience with in-memory solutions an advantage Understanding of the concepts and technology ecosystem around both real-time/streaming and batch processing in big data platforms Proven track record developing distributed solutions that support large, complex datasets Passing knowledge of financial services concepts e.g. electronic trading, market data, etc Ability to drive Software Development Life Cycles (SDLC) such as Waterfall, Agile, Kanban, depending on the needs of specific projects Use of best practice CI/CD methodologies to produce a high-performance system that is secure, easy to deploy and maintainable Working Arrangements This is a Hybrid position with [ weekly time in the office with the flexibility of working from home <span d