Big Data Engineer - Hybrid in Toronto

Elevate your career as a Big Data Engineer with a hybrid work model in Toronto, ON. Leverage your expertise in Spark and Scala to design scalable data pipelines. In this full-time role, you'll develop and optimize both batch and real-time data processing systems while utilizing the Hadoop ecosystem. Collaborating closely with data scientists, you'll ensure data quality and system scalability through effective ETL processes and troubleshooting efforts. Key Responsibilities: • Design scalable data pipelines using Spark and Scala • Build batch and real-time data processing systems • Work with Hadoop ecosystem and distributed frameworks • Develop and maintain large-scale ETL processes • Collaborate across teams to solve data challenges Requirements: • 6 years of big data experience required • 1 year of experience with Scala • 1 year of experience with Spark • Familiarity with AWS or Azure is a plus • Proven skills in performance tuning and data quality Maximize your big data expertise to drive innovative solutions in a hybrid environment.

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