The candidate will be involved in parallelizing and optimizing accounting calculations, creating and maintaining backend REST webservices, and managing data processing batch operations.
Requirements
- 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
- 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
Responsibilities
- 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
Other
- Relevant experience 3-5 Years
- Working with a global team across multiple locations (Montreal, New York, London, Budapest, and India).
- Strong Written and Oral Communication skills
- Experience with accounting and finance in the financial industry
- Experience with business reporting concepts, design, and data sciences.
