Join Tecsys as a Data Platform Engineer, contributing to our analytics and AI initiatives within a hybrid work model. Work with cutting-edge technologies like Databricks and AWS to elevate data processing.We are looking for an experienced Data Platform Engineer (DevOps) to be a pivotal part of our TecsysIQ Data & AI team. This role involves building and maintaining a cloud data platform, managing infrastructure-as-code, and working with application developers and product owners to enhance CI/CD processes. If your expertise includes Terraform and Spark Structured Streaming,



this exciting role could be perfect for you.Key Responsibilities:Provision AWS and Databricks accounts using TerraformManage Kubernetes Jobs and Helm charts effectivelyBuild Docker images and optimize the Java/Maven pipelineDevelop and maintain real-time data streaming pipelinesCollaborate closely with Agile teams on data productsRequirements:Hands-on experience with Databricks and Apache SparkStrong Terraform skills for cloud infrastructure managementProficiency in Python (PySpark) and/or JavaKnowledge of Kubernetes and Helm for containerizationAbility to work in Agile environmentsLeverage your DevOps and data engineering skills to drive innovation at Tecsys.#J-18808-Ljbffr

📌 Hybrid Data Platform Engineer At Tecsys (Montreal)
🏢 Linux Association of Canada
📍 Montreal