Join Tecsys as a Data Platform Engineer (DevOps), where you'll enhance our cloud data platform on Databricks and AWS in a hybrid work model. Leverage your Terraform and Apache Spark skills to drive high-quality data solutions. Tecsys is seeking a Data Platform Engineer to join its Data & AI team in a agile hybrid role. You will be responsible for overseeing infrastructure-as-code and developing delivery pipelines on our advanced cloud data platform.

Your role involves close collaboration with developers, product owners, and other stakeholders to ensure efficient data movement and reliable platform performance. Key Responsibilities:

- Provision AWS and Databricks environments using Terraform
- Manage Kubernetes Jobs and Helm charts for deployment




- Build Docker images and maintain the Java/Maven pipeline
- Design real-time Spark Structured Streaming pipelines
- Collaborate with Agile teams to deliver data products Requirements:
- Hands-on experience with Databricks and Apache Spark
- Strong Terraform and AWS cloud management skills
- Knowledge of Kubernetes, Helm, and Docker
- Proficiency in Python and SQL for data validation
- Experience in Agile methodologies with data team collaboration Bring your expertise in data engineering and cloud infrastructure to Tecsys to transform supply chains with innovative solutions.

📌 Hybrid Data Platform Engineer at Tecsys (Montreal)
🏢 Tecsys
📍 Montreal