Contribute to transformative data solutions as a Senior Data Engineer in Toronto. This hybrid role requires experience in managing and operating high-volume data systems.
As part of the Data Infrastructure teams, your role involves significant ownership of major platform components. You will leverage your skills in Spark-on-Kubernetes, Flink, and Kinesis to develop infrastructure that handles billions of events daily, ensuring reliability and efficiency.
Key Responsibilities:
• Configure and support Spark-on-Kubernetes for data processing
• Develop event ingestion pipelines with Rust and Flink
• Utilize Terraform for cross-account AWS provisioning
• Govern real-time ML pipelines in MemoryDB environments
• Deploy Airflow DAGs for data quality and monitoring
Requirements:
• 3+ years of relevant experience in production environments
• Proficient in creating and managing Kubernetes platforms
• Hands-on AWS experience with EKS, Kinesis, S3
• Proven responsibility for critical platform components
• Solid coding skills in Rust, JVM, or Python
Join us in advancing data engineering initiatives from our Toronto office while applying your technical mastery.
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📌 Senior Data Engineer Toronto Infrastructure (Ontario)
🏢 Tubi - Canada
📍 Ontario