Data Platform Engineer (Azure)

Key Responsibilities

• Working with the customers of the platform to identify emerging needs in the platform offering together with platform Product Owner.
• Infrastructure Provisioning and Management: Deploying and managing infrastructure resources on Azure.
• Continuous Integration and Deployment (CI/CD): Implementing and maintaining CI/CD pipelines to automate build, test, and deployment processes.
• Monitoring and Logging: Setting up supervising and logging solutions to ensure the availability, performance, and security of the platform.
• Security and Compliance: Implementing security measures and best practices to protect the platform and its data.
• Teamwork and Communication: Collaborating with multi-functional teams as well as effective communication and documentation of processes, procedures, and configurations are essential.
• Solving and Support: Identifying and resolving issues related to infrastructure, deployments, and platform performance.
• Automation and Optimization: Continuously finding opportunities to automate manual tasks, improve operational efficiency, and optimize resource utilization.
• Learning and Growth: Staying updated with the latest Azure services, DevOps practices, and industry trends. Actively participating in training programs, certifications, and knowledge-sharing initiatives to improve skills and supply to the team's growth.

Job Qualifications

• Understanding of Cloud infrastructure (with focus on Databricks)
• Practical knowledge of Data Engineering and DevOps toolset:
• Over 3 years of experience working with Databricks.
• Over 3 years of experience working with Azure (configuring resources, basic understanding of networking and permissions model)
• Over 3 years of experience using DevOps tools - (GitHub Repos, GitHub Actions, Azure DevOps Pipelines, SonarQube, Snyk etc.)
• Nice to have - Infrastructure as a Code (Terraform)
• Good interpersonal skills
• Bachelor's degree or equivalent experience