Cloud Data Platform Engineer

Possess expertise in utilizing Kubernetes, Docker, relational databases (including modeling and performance optimization), and private networking, along with the deployment, maintenance, monitoring, and security of cloud resources, ideally on Azure.

Have familiarity with automation, version control, DevOps, Infrastructure as Code (IaC), and Continuous Integration/Continuous Deployment (CI/CD) tools (such as Azure DevOps, GitHub, GitHub Actions, Terraform). Experience with AWS is considered an advantage.

Demonstrate proficiency in scripting languages (like Bash, PowerShell, and Azure CLI), with additional experience in software development, particularly using Python, being a significant asset.

Exhibit a solid understanding of Data Engineering principles, including data analytics, data processing tools, ETL, and ELT methodologies.

Thrive in a collaborative environment, working on features and user stories with team members, and maintain transparency in your work through effective documentation and communication in meetings, comments, chats, and pull requests.