Iris's Fortune 100 direct client is looking Python Data Engineer. Please find below Job description and share me your updated resume at Jatin.gupta@irissoftware.com.
Position: 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.
- Messaging & Streaming: Familiarity with NATS.io for building message-driven systems and asynchronous workflows.
- Testing & Quality Assurance: Proficiency with pytest for writing unit tests, integration tests, and maintaining code coverage standards.
