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