- Strong Python programming experience (3+ years)
- Advanced proficiency with pandas for data manipulation and analysis
- Experience designing and maintaining production ETL workflows
- Solid understanding of data modeling concepts and techniques
- Familiarity with SQL and relational database concepts
- Version control systems (Git) and collaborative development practices Preferred Qualifications:

Preferred Qualifications:

- Experience with Polars for high-performance data processing
- Familiarity with DuckDB for analytical query processing
- Knowledge of cloud-based data platforms (AWS, GCP, or Azure)
- Experience with orchestration tools like Airflow, Luigi, or Dagster
- Understanding of data governance and compliance requirements
- Contributions to open-source data projects

What Makes You Successful:

- Problem-solving mindset with attention to detail
- Robust communication skills to explain technical concepts clearly
- Commitment to code quality and testing practices Ability to balance competing priorities in a fast-paced environment

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📌 Python ETL Data Engineer (Toronto)
🏢 apptoza
📍 Toronto