Transform data practices with TecsysIQ as a Data Platform Engineer. This hybrid role emphasizes building and managing our cloud data solutions for impactful analytics. Within the TecsysIQ Data & AI team, you will architect and operate platforms on Databricks and AWS, advancing our data-driven supply chain solutions.

Your role involves collaborating closely with development teams and product stakeholders to ensure efficient data movement and pipeline integrity, utilizing your Terraform and Spark skills. Key Responsibilities:

- Provision multi-region AWS and Databricks environments
- Own Helm charts while onboarding new customer setups
- Create CI/CD processes for deployment workflows
- Design and maintain Databricks jobs for data operations
- Collaborate in Agile settings to enhance data quality

Requirements:

- Hands-on experience with Databricks and Apache Spark
- Proficient in Terraform and managing AWS infrastructure
- Knowledge of Kubernetes, Helm, and containerization
- Experience with Python, Java, and SQL
- Robust understanding of data observability and ETL practices

Position your career forward with Tecsys by leveraging your data engineering expertise for impactful change.

📌 Data Platform Engineer with TecsysIQ (Montreal)
🏢 RXinsider
📍 Montreal