Join Tecsys as a Data Platform Engineer focused on DevOps practices. This hybrid position involves operating our advanced cloud data platform for analytics and AI products. In this impactful role within the TecsysIQ Data & AI team, you will be responsible for managing AWS and Databricks environments, creating delivery pipelines, and ensuring reliable data pipelines.

Your collaboration with developers and product owners will drive high-quality data infrastructure, enhancing supply chain solutions in healthcare. Key Responsibilities:

- Evolve Databricks and AWS setups using Terraform
- Develop and manage Kubernetes jobs to onboard current environments
- Build Docker images for CI/CD pipelines
- Design real-time streaming pipelines with Spark Structured Streaming
- Collaborate in Agile teams to deliver data solutions

Requirements:

- Strong experience with Databricks and Apache Spark
- Proficiency in Terraform, AWS, and Kubernetes
- Experience with Docker and CI/CD workflows
- Knowledge of Python, Java, and SQL
- Understanding data quality and ETL concepts

Drive innovation in healthcare solutions by mastering our data platforms at Tecsys.

📌 Tecsys Data Platform Engineer (DevOps) (Montreal)
🏢 RXinsider
📍 Montreal