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