- 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).
Requirements
- BSc or MSc in any relevant field of IT/Engineering area.
- Strong proficiency with Java (Spring) and Scala or equivalent languages.
- 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.
- Hungarian citizenship and fluent Hungarian/English language skills is a must.
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.
Benefits
- You will have the opportunity to gain experience in exciting, long-term, innovative projects,
- Work in a multinational environment,
- A team of great engineers,
- Cafeteria.