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