Scala Developer

VySystems Singapore; Toronto; On-site; CAD 90,000 - 120,000; Full time

Job summary

A leading technology firm in Toronto is seeking an experienced Hadoop Developer to build and support large-scale data processing solutions. The ideal candidate will have strong hands-on expertise in Hadoop, Spark, and Scala, as well as domain knowledge in Liquidity Reporting and Capital Markets. Responsibilities include designing Hadoop-based solutions, developing data pipelines, and collaborating with cross-functional teams. Excellent communication and presentation skills are essential for success in this role.

Qualifications

• Strong hands-on experience in Hadoop development.
• Expertise in Apache Spark and Scala.
• Experience with Hadoop and Cassandra.
• Strong programming skills in Java.
• Good understanding of Liquidity Reporting.
• Strong presentation, communication, and stakeholder interaction skills.

Responsibilities

• Design, develop, and optimize Hadoop-based data processing solutions.
• Build and maintain applications using Apache Spark and Scala.
• Develop and support data pipelines using Hadoop ecosystem components.
• Work with Cassandra and other NoSQL databases for high-volume data processing.
• Collaborate with business and technology teams for liquidity reporting.
• Analyze performance issues and implement tuning and optimization.
• Present technical solutions and status updates to stakeholders.

Skills

Hadoop development

Apache Spark

Scala

Java

NoSQL databases

Presentation skills

Communication skills

Tools

Hadoop

Cassandra

Job description

We are seeking an experienced Hadoop Developer with strong hands‑on expertise in Spark and Scala to build and support large‑scale data processing solutions. The ideal candidate will also bring domain knowledge in Liquidity Reporting and Capital Markets, along with strong communication and presentation skills.

Job Summary

We are seeking an experienced Hadoop Developer with strong hands‑on expertise in Spark and Scala to build and support large‑scale data processing solutions. The ideal candidate will also bring domain knowledge in Liquidity Reporting and Capital Markets, along with strong communication and presentation skills.

Key Responsibilities

• Design, develop, and optimize Hadoop‑based data processing solutions.
• Build and maintain applications using Apache Spark and Scala.
• Develop and support data pipelines using Hadoop ecosystem components.
• Work with Cassandra and other NoSQL databases for high‑volume data processing.
• Develop backend components using Java.
• Collaborate with business and technology teams to support liquidity reporting and capital markets use cases.
• Analyze performance issues and implement tuning and optimization.
• Present technical solutions and status updates to stakeholders.

Required Skills & Qualifications

• Strong hands‑on experience in Hadoop development.
• Expertise in Apache Spark and Scala.
• Experience with Hadoop and Cassandra.
• Strong programming skills in Java.
• Good understanding of Liquidity Reporting and Capital Markets products.
• Strong presentation, communication, and stakeholder interaction skills.