Join SugarAI as a Databricks Senior Data Engineer, driving creative 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.

📌 Databricks Senior Data Engineer Role (Quinte West)
🏢 SugarAI
📍 Quinte West