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. #J-18808-Ljbffr

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