Description

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

This role is hybrid.

Responsibilities

• Parallelize and optimize accounting calculations using Apache Spark.
• Develop and maintain backend REST web services based on established contracts.
• Manage data processing batches with a focus on orchestration, performance, and stability.
• Collaborate with distributed teams across New York, Montreal, London, Budapest, and India.
• Debug UNIX/Linux applications and automate workflows.

Required Skills

• 3-5 years of professional experience in data engineering or backend development.
• Strong proficiency in Java (Spring) and Scala.
• Experience with relational databases: SQL Server, Oracle, Sybase, or DB2.
• Hands-on experience with Big Data repositories like 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.
• Experience with automation scripts such as AutoSys, UNIX shell, Perl, or Python.
• Background in accounting, finance, business reporting, or data science.

Key Skills

Education

Not specified