Python Data Engineer — Hybrid Toronto | Docker & Kubernetes
Iris Software Inc.
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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
Tools
Job description
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.
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