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 the organization.
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.
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.
Experience with version control systems (Git) and collaborative development practices.
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.
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.
Senior ETL/Python Developer • Toronto, ON, ca
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