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.
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Required Skill Profession

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📌 Databricks Data Engineering Role Hybrid Toronto
🏢 Pacer Group
📍 Toronto