Lead Full Stack Engineer
Toronto, ON, CA, M5C2V9
CAD 94K-171K (estimate) Senior-level Full Time
Tasks
- Build scalable data pipelines
- Deploy streaming and batch jobs in GCP
- Design and operationalize data platform
- Develop production data pipelines
- Guide team on data frameworks and custom code
- Implement batch streaming and API ingestion patterns
- Implement logging notification monitoring and performance monitoring
- Lead development for data ingestion and transformation
- Orchestrate workflows and manage task scheduling
- Provide end to end cloud technical guidance
Perks/Benefits
- Accessibility and workplace accommodations
- Cross-functional development opportunities
- Employee resource groups
- Flexible vacation
- Free tea and coffee
- Online courses
- Personal days
- Sick days
- Tuition assistance
Skills/Tech-stack
Apache Beam | Apache Flume | Apache Hadoop | Apache Hive | Apache Kafka | Apache Pig | Apache Spark | Cloud Composer | Cloud Dataflow | Cloud Dataproc | Cloud Functions | Cloud PubSub | Cloud SQL | Cloud Spanner | Cloud Storage | Confluent Kafka | DBT | Google BigQuery | Google Cloud | Google Cloud Dataflow | Google Cloud Dataproc | Google Cloud PubSub | Google Cloud Spanner | Google Cloud Storage | HDFS | HQL | Infrastructure as Code | Java | Python | SQL | Scala | Spring Boot | Sqoop | Terraform | “as-code”
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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