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 environments 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