
Senior Data Platform Engineer
- Toronto, ON
- $137,000-142,000 per year
- Permanent
- Full-time
- Generative AI for content summarization and question answering.
- Data pipelines which provide insights to restaurants on their guests, revenue, and operations
- Diner analytics projects which power ML, Sales, and Marketing workstreams
- Integrations with partners to ingest and export data to support business critical partnerships
- Proven experience with Site Reliability Engineering or MLOps with a focus on data infrastructure
- Knowledge of the technologies and principles of data engineering
- Experience building, testing, deploying, monitoring, and maintaining production systems
- Proficient in Python, at least one strongly typed language, and Kubernetes
- Familiarity with our stack (PySpark, Databricks, Airflow, Python, K8s, AWS)
- Machine Learning experience (particularly MLOps, LLM Evaluation / Monitoring)
- Java proficiency
- Track record of project leadership, cross-team collaboration, and coordination with Product Managers and other stakeholders
- Pipelines: Spark, Airflow, Databricks, Snowflake, S3, Delta Lake
- ML: PyTorch, XGBoost / CatBoost, Large Language Models
- Deployment: Docker, Kubernetes, Helm, Prometheus, Graphite/Grafana
- Infrastructure: Kafka, ElasticSearch, Postgres, MongoDB, Redis, Qdrant
- Build: Flask, Gunicorn, Poetry, TeamCity, Spring, Maven
- OpenTable fields a lean team, with just over 1,000 employees globally. The Data Science team is currently 17 people, but striving to grow.
- Paid Time Off - 20 days a year
- Birthday/celebration PTO - 1 day
- Annual company weeks off
- Flexible sick time off
- Paid volunteer time
- Parental Leave Benefits
- Dental & Vision Insurance
- Life & Disability Insurance
- Group RRSP and DPSP
- Major Medical Insurance (dependent care options)