4+ years of professional experience in data engineering or a closely related field.
Strong SQL skills and hands-on experience with data modeling for analytics or reporting use cases.
Skilled in Python and Node.js for data processing and pipeline development.
Experience working with ETL orchestration platforms to develop, schedule, and manage production data workflows.
Solid understanding of ETL/ELT patterns and the trade-offs involved in crafting data pipelines at scale.
Familiarity with Linux environments for pipeline deployment and operational tasks.