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 needsExecute high-quality ETL/ELT processesFacilitate automated testing and production deploymentDrive projects successfully through independent leadershipSupport the team in navigating complex scenariosRequirements:12+ years of Data Engineering experienceComprehensive knowledge of AWS and DatabricksStrong skills in various data modeling techniquesAbility to work autonomouslyBachelor's degree in Computer Science or equivalentHarness your technical prowess to advance data-driven strategies at Databricks.

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