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Pacer Group

Toronto / Global

Databricks Data Engineering Role - Hybrid

  • Hybrid

Job Description

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

• Strong 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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