• 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.