Description

You will build and optimize data processing pipelines and backend services within a global engineering team.

Responsibilities

• Parallelize and optimize accounting calculations using Apache Spark.
• Develop and maintain backend REST webservices based on established contract agreements.
• Manage data processing batches, focusing on orchestration, performance, and stability.
• Collaborate with distributed teams across New York, Montreal, London, Budapest, and India.

Required Skills

• 3-5 years of relevant professional experience.
• Strong proficiency in Java (Spring) and Scala.
• Experience with relational databases including SQL Server, Oracle, Sybase, or DB2.
• Hands-on experience with Big Data repositories such as Hadoop and MongoDB.
• Knowledge of modern SDLC methodologies and Agile practices.
• Strong written and oral communication skills.

Preferred Skills

• Familiarity with Apache Spark for parallel processing and UNIX/Linux application debugging.
• Experience with automation scripts such as AutoSys, UNIX shell, Perl, or Python.
• Knowledge of Angular, React, or JavaScript/TypeScript front-end technologies.
• Background in accounting, finance, business reporting, or data science.

Key Skills

Education

Not specified