Data Engineer I

📋 Description Implement high-performance ELT/ETL transformations using tools like dbt based on innovative specs Build, deploy, and maintain seamless data ingestion and transformation jobs powered by Airflow and Write and execute vital data tests—including row counts, null checks, and reference validations—to Proactively investigate automated alerts, ensuring peak system performance and escalating deeper Maintain pristine schemas and naming conventions across Snowflake, BigQuery, or Databricks while Create clear documentation for pipelines, schemas, and caveats so the entire engineering team can 🎯 Requirements Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field (or 2-3 years of hands-on experience in data engineering, BI engineering, or equivalent project-driven Exceptional ability to write clean SQL (joins, filters, aggregations) and query across cloud data Strong foundational understanding of data transformation concepts and comfort navigating tools like Familiarity with Python (or similar languages) and Git-based collaborative workflows to ship clean 🎁 Benefits Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a Access to health benefits. Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for Family coverage offering time with your little one(s). Connect with global communities through Employee Resource Groups (including PRIDE, DWA, BIDOC, and