Java Big Data Engineer Hybrid

Elevate your career as a Java Big Data Engineer in Toronto's financial sector. This hybrid role focuses on scalable data pipelines, real-time solutions, and high-performance application development.

We are seeking an experienced engineer to design and maintain big data pipelines using Java and Spark. This contract position demands collaboration with data scientists and business stakeholders, supporting efficient data processing in a dynamic team. You will also engage in performance optimization and ensure data quality standards are met throughout your projects.

Key Responsibilities:

• Design and develop big data pipelines with Java and Spark

• Work with Hadoop ecosystem for data storage and processing

• Implement real-time streaming using Kafka and Spark Streaming

• Optimize performance of big data applications

• Collaborate with stakeholders to gather data requirements

Requirements:

• Strong core Java (8+) development experience

• Hands-on with Apache Spark (batch and streaming)

• Proficient in Hadoop technologies (HDFS, Hive, YARN)

• Experience with Kafka for real-time streaming

• Strong SQL skills with relational and No

SQL databases

Join us as a Java Big Data Engineer to drive efficiency and innovation in data processing.
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