Opportunity Description
Elevate your career as a Databricks Platform Engineer with Kinaxis, focusing on Azure and GCP in a hybrid work model. Join a thriving team to enhance supply chain management through advanced AI solutions.
In this full-time role, you will be part of the Data Fabric team, working on building a robust data and AI platform using Databricks. Successful candidates will have over five years of experience in production systems, leveraging skills in Python, SQL, and Terraform. Contribute to cutting-edge development that impacts Fortune 500 brands and global supply chains.
Key Responsibilities:
• Engineer the Databricks platform across Azure and GCP
• Evolve data governance in Unity Catalog
• Collaborate with ML R&D teams on data products
• Review AI-generated code for quality and integration
• Accelerate SDLC using innovative AI applications
Requirements:
• 5+ years of production engineering experience
• Strong expertise in Databricks, Spark, and SQL tuning
• In...
In this full-time role, you will be part of the Data Fabric team, working on building a robust data and AI platform using Databricks. Successful candidates will have over five years of experience in production systems, leveraging skills in Python, SQL, and Terraform. Contribute to cutting-edge development that impacts Fortune 500 brands and global supply chains.
Key Responsibilities:
• Engineer the Databricks platform across Azure and GCP
• Evolve data governance in Unity Catalog
• Collaborate with ML R&D teams on data products
• Review AI-generated code for quality and integration
• Accelerate SDLC using innovative AI applications
Requirements:
• 5+ years of production engineering experience
• Strong expertise in Databricks, Spark, and SQL tuning
• In...
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