Job Overview We're seeking an experienced ETL Pipeline Developer proficient in Python to design, implement, and maintain robust data pipelines. This role is critical for transforming raw data into valuable business insights across our organization.

Key Responsibilities Architect and build efficient ETL pipelines in Python to process diverse data sources

Implement data transformation logic using pandas for complex manipulations and aggregations

Document pipeline architecture, data flows, and transformation processes

Collaborate with data scientists and business stakeholders to understand data requirements

Optimize existing pipelines for performance and maintainability

Implement data quality checks and monitoring solutions

Required Skills Robust 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 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

Strong communication skills to explain technical concepts clearly

Commitment to code quality and testing practices

Ability to balance competing priorities in a fast-paced environment, Project Code :

📌 Python Developer -ETL (Toronto)
🏢 Ju0026M Group
📍 Toronto