Data Engineer

Job Description: • Technology works as a strategic partner with client business units and the world's leading technology companies to redefine how we do business in ever more global, complex, and dynamic financial markets. Client sizeable investment in technology results in quantitative trading systems, cutting-edge modelling and simulation software, comprehensive risk and security systems, and robust client-relationship capabilities, plus the worldwide infrastructure that forms the backbone of these systems and tools. Our insights, our applications and infrastructure give a competitive edge to clients' businesses' and to our own. • The candidate should be able to work well with the full life-cycle of the project from requirements analysis, design, development, rollout into production, as well as DevOps automation for continuous deployment. The candidate will be involved but not limited to: • Parallelize and optimize accounting calculations using Apache Spark • Create and maintain backend REST webservices to interact with other applications based on pre-established contract agreements. • Data Processing Batch Management including data orchestration performance and stability • Working with a global team across multiple locations (Montreal, New York, London, Budapest, and India). Required Skills: • Relevant experience 3-5 Years • Strong proficiency with Java (Spring) and Scala • Proficiency with Relational Databases such as SQL Server, Oracle, Sybase or DB2, as well as Big Data repositories such as Hadoop and MongoDB • Experience with modern SDLC methodologies including Agile • Strong Written and Oral Communication skills Nice to Have Skills: • Familiar with Apache Spark for parallel processing • Familiar with UNIX/Linux application debugging • Familiar with automation scripts such as AutoSys, UNIX shell, Perl, or Python for DevOps automation • Familiar with Angular, React or any JavaScript/Typescript front-end technologies • Experience with accounting and finance in the financial industry • Experience with business reporting concepts, design, and data sciences"