Join Tecsys as a Data Engineer focused on cloud and DevOps in a hybrid setup. Bring your expertise in Databricks and AWS to enhance analytics capabilities across healthcare systems. As part of the TecsysIQ Data & AI team, you will manage infrastructure-as-code while collaborating closely with product developers and stakeholders.

This role entails designing productive ETL pipelines and deploying applications with Helm and Kubernetes. Candidates should be adept in leveraging cloud solutions for optimal data processing. Key Responsibilities:
Use Terraform to provision cloud settings in AWS
Implement Helm and Kubernetes for application deployment
Create and manage Docker images for data operations
Develop Databricks jobs for data transformation
Fine-tune performance across SQL warehouses and data layers Requirements:
Proven skills in Databricks and Apache Spark
Capability in managing AWS with Terraform
Knowledge of containerization with Docker and Kubernetes
Proficiency in Python or Java, plus SQL skills
Experience with CI/CD pipelines and version control Drive data innovation at Tecsys while flexibly working in a digital-first company!

📌 Data Engineer Cloud & Devops Specialist Montreal
🏢 Tecsys
📍 Montreal