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 monitoringRequirements:
3+ years of relevant experience in production settings
Proficient in creating and managing Kubernetes platforms
Hands-on AWS experience with EKS, Kinesis, S3
Proven responsibility for critical platform components
Robust coding skills in Rust, JVM, or PythonJoin us in advancing data engineering initiatives from our Toronto office while applying your technical mastery.#J-18808-Ljbffr

📌 Senior Data Engineer Toronto Infrastructure
🏢 Tubi - Canada
📍 Toronto