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 environments
- 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