Hybrid Java Big Data Engineer

Join a dynamic financial services team as a Java Big Data Engineer in Toronto. This hybrid role focuses on large-scale data pipelines and real-time data streaming solutions with 4 days onsite.

We are seeking an experienced Java Big Data Engineer for our Toronto office. In this contract position, you will design and maintain scalable big data pipelines using Java and Spark.

Your role involves optimizing big data applications, working with Hadoop ecosystems, and collaborating with stakeholders to ensure data requirements are met.

Key Responsibilities:

• Design and develop scalable big data pipelines

• Utilize Hadoop ecosystems for large data processing

• Implement real-time solutions with Kafka and Spark Streaming

• Optimize and tune performance of applications

• Collaborate with stakeholders to understand data needs

Requirements:

• Strong core Java (8+) development experience

• Hands-on Apache Spark experience

• Proficiency in Hadoop ecosystem components

• Experience with real-time data streaming tools

• Strong SQL skills and experience in Unix/Linux

Leverage your Java and big data expertise in this impactful financial services role.
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