Job Description
Drive data innovation as a Lead Data Engineer with Databricks expertise at Keyrus. This role offers a chance to elevate analytics solutions in a hybrid environment from Montreal or Toronto.
As a senior-level consultant, you will leverage your 8+ years of extensive data engineering experience to influence teams and ensure high standards across projects. Your responsibilities will encompass mentoring colleagues, optimizing data management practices, and directly collaborating with clients on cutting-edge analytics initiatives.
Key Responsibilities:
• Design and optimize Databricks-based data solutions
• Implement scalable lakehouse architectures for data quality
• Build ingestion frameworks for real-time data processing
• Establish CI/CD pipelines for efficient deployments
• Enforce best practices in Databricks usage for teams
Requirements:
• Minimum of 8 years in data engineering roles
• End-to-end hands-on experience with Databricks
• Strong background ...
As a senior-level consultant, you will leverage your 8+ years of extensive data engineering experience to influence teams and ensure high standards across projects. Your responsibilities will encompass mentoring colleagues, optimizing data management practices, and directly collaborating with clients on cutting-edge analytics initiatives.
Key Responsibilities:
• Design and optimize Databricks-based data solutions
• Implement scalable lakehouse architectures for data quality
• Build ingestion frameworks for real-time data processing
• Establish CI/CD pipelines for efficient deployments
• Enforce best practices in Databricks usage for teams
Requirements:
• Minimum of 8 years in data engineering roles
• End-to-end hands-on experience with Databricks
• Strong background ...