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 current customer environments and ensure reliable operation at scale.Key Responsibilities:Provision AWS and Databricks workspaces using TerraformOwn Helm charts and Kubernetes jobs for customer environmentsBuild and maintain Docker images and Java/Maven pipelinesIntegrate testing into CI/CD pipelines to improve release processesDevelop real-time streaming and change data capture pipelinesRequirements:Hands-on experience with Databricks and Apache SparkStrong Terraform skills for managing AWS infrastructureKnowledge in Kubernetes, Helm, and DockerProficiency in Python (PySpark) and SQLExperience with Agile teams and CI/CD workflowsDrive data transformation with robust engineering practices at Tecsys!#J-18808-Ljbffr

📌 Hybrid Data Platform Engineer At Tecsys (Montreal)
🏢 PVH (Tommy Hilfiger/Calvin Klein)
📍 Montreal