Transform your career with Databricks as a Data Engineer in a hybrid working arrangement. This role demands deep expertise in AWS and Databricks for comprehensive data solutions. We are looking for a Data Engineer with over 12 years of experience in data architecture and large-scale distributed systems.

You'll need to have an expert-level command of AWS Data Services, the Databricks/Spark ecosystem, as well as advanced capabilities in SQL and Python. Your proficiency in CI/CD and DevOps will be crucial for successful project execution. Key Responsibilities:

- Develop advanced data models tailored for business needs
- Execute high-quality ETL/ELT processes
- Facilitate automated testing and production deployment
- Drive projects successfully through independent leadership
- Support the team in navigating complex scenarios Requirements:
- 12+ years of Data Engineering experience
- Comprehensive knowledge of AWS and Databricks
- Robust skills in various data modeling techniques
- Ability to work autonomously
- Bachelor's degree in Computer Science or equivalent Harness your technical prowess to advance data-driven strategies at Databricks.

📌 Databricks Data Engineering Role - Hybrid (Toronto)
🏢 Pacer Group
📍 Toronto