Join Tecsys as a Data Platform Engineer (DevOps) in a hybrid role focusing on cloud data infrastructure. Utilize Databricks and AWS to enhance our analytics and AI solutions.
As a key player in our TecsysIQ Data & AI team, you will own delivery pipelines and infrastructure-as-code while working with data shaping and streaming pipelines. You will collaborate closely with developers and product owners to create and maintain new customer environments and ensure reliable operation at scale.
Key Responsibilities:
• Provision AWS and Databricks workspaces using Terraform
• Own Helm charts and Kubernetes jobs for customer environments
• Build and maintain Docker images and Java/Maven pipelines
• Integrate testing into CI/CD pipelines to improve release processes
• Develop real-time streaming and change data capture pipelines
Requirements:
• Hands-on experience with Databricks and Apache Spark
• Solid Terraform skills for managing AWS infrastructure
• Knowledge in Kubernetes, Helm, and Docker
• Proficiency in Python (PySpark) and SQL
• Experience with Agile teams and CI/CD workflows
Drive data transformation with robust engineering practices at Tecsys!
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📌 Hybrid Data Platform Engineer at Tecsys (Montreal)
🏢 PVH (Tommy Hilfiger/Calvin Klein)
📍 Montreal