Join SugarAI as a Databricks Senior Data Engineer, driving cutting-edge data solutions in a hybrid work model. Your skills in optimizing data pipelines will be instrumental for our AI-powered CRM.

In this role, you will own the Databricks data pipelines that support the Sugar Predict platform, affecting mid-market operations. You will work closely with multidisciplinary teams to ensure streamlined, secure, and high-performance data delivery. Your efforts will also focus on modernizing legacy systems and optimizing resource costs through efficient pipeline management.

Key Responsibilities:
• Manage Databricks production operations and incident response
• Report on pipeline performance metrics and SLAs




• Implement pipeline optimizations to enhance performance
• Facilitate migrations of legacy systems to Databricks
• Build scalable pipelines for data processing

Requirements:
• 4+ years of experience in data engineering
• Minimum 2 years using Databricks
• Expertise in Python, SQL, and PySpark
• Extensive knowledge of Delta Lake
• Experience with PostgreSQL and legacy ETL tools

Leverage your data engineering skills at SugarAI, driving transformative AI solutions for our clients.
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📌 Databricks Senior Data Engineer Role (Ontario)
🏢 SugarAI
📍 Ontario