Data Platform Engineer

Empowering Data, Building Insights.Tasks"Join our team as a Data Platform Engineer and build scalable data solutions that drive innovation!"Design, deploy, and manage Azure-based cloud solutions, with a focus on data and AI workloads.Implement infrastructure-as-code using Terraform to provision scalable and secure Azure environments.Build and maintain CI/CD pipelines using Azure DevOps, Git, and automation frameworks to support rapid and reliable application delivery.Develop and maintain tools and scripts using Python and Bash.Support platform operations by proactively monitoring, diagnosing, and resolving issues to ensure system reliability and performance.Ensure compliance with security and governance standards relevant to data and AI solutions.Deploy and manage containerized applications on Azure Kubernetes Service, ensuring high availability and scalability.Collaborate with cross-functional DevOps and engineering teams.RequirementsRelevant training or certifications in AzureProficient knowledge in Azure Cloud services and architecture, with a focus on AI & ML solutionsProficient in TerraformProficient in programming languages such as PythonExperience with frameworks like TensorFlow, PyTorch, and scikit-learn for machine learningStrong scripting skills for automation and deployment using PowerShell and/or BashStrong understanding of Azure Machine Learning services and toolsKnowledge of Azure Databricks for scalable and collaborative data science and machine learningFamiliarity with Azure DevOps for CI/CD in AI & ML projectsCompetence in Azure Kubernetes Service Expertise in working with Azure Data FactoryFamiliarity with compliance standards relevant to AI & ML applicationsProblem-solving and communication skills