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 Terraform
- Manage Kubernetes Jobs and Helm charts effectively




- Build Docker images and optimize the Java/Maven pipeline
- Develop and maintain real-time data streaming pipelines
- Collaborate closely with Agile teams on data products Requirements:
- Hands-on experience with Databricks and Apache Spark
- Robust Terraform skills for cloud infrastructure management
- Proficiency in Python (PySpark) and/or Java
- Knowledge of Kubernetes and Helm for containerization
- Ability to work in Agile environments Leverage your DevOps and data engineering skills to drive innovation at Tecsys.

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