Data Engineer (Python)
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Summary
Iris Software is hiring a Python Data Engineer for a Fortune 100 client in Toronto (hybrid, 4 days/week onsite). The role centers on large-scale data manipulation with pandas/polars, containerized deployments using Docker and Kubernetes, and analytical workloads on ClickHouse or similar columnar OLAP databases.
Iris's Fortune 100 direct client is looking Python Data Engineer.
Toronto: Toronto, ON (Hybrid, 4 days onsite in a week)
Must-have:
- Python & Data Processing: Advanced proficiency in pandas and polars for data manipulation, transformation, and analysis. Experience optimizing code performance for large datasets.
- Containerization & Orchestration: Hands-on experience with Docker for building container images and composing multi-container applications. Knowledge of Kubernetes for container orchestration and deployment management.
- Data Infrastructure: Working knowledge of ClickHouse or similar columnar databases for OLAP workloads and analytical queries.