Data Engineer (Python)

Iris Software Inc.; Toronto; Hybrid; CAD 90,000 - 140,000; Full time

Job summary

Iris Software Inc. is seeking a Python Data Engineer for our Fortune 100 direct client in Toronto. The role is hybrid with four days onsite per week, focusing on advanced data processing and analytics using Python, Pandas, and Polars.

Candidates should have hands-on experience with Docker, Kubernetes, and columnar databases like ClickHouse to support OLAP workloads and efficient data pipelines.

Qualifications

• Proficient in Python for data engineering tasks.
• Strong experience with Pandas and Polars for data manipulation.
• Experience optimizing code for large datasets.

Skills

Python

Pandas

Polars

Data processing

Performance optimization

Tools

Docker

Kubernetes

ClickHouse

Job description

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.