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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
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.