Python ETL Data Engineer

• 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


• 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