Data Platform Engineer

About the job We're looking for an experienced Data Platform Engineer to help design, build, and optimize modern cloud data platforms for a global enterprise environment. This role combines Azure Data Engineering, Cloud Platform, and DevOps, with opportunities to work on modern data architectures, AI platforms, and graph technologies. 🎯 Key Responsibilities Design and build scalable data solutions on Microsoft Azure. Develop ETL/ELT pipelines using Azure Data Factory, Azure Synapse, and Azure Databricks. Deploy and support cloud data platforms using AKS and Kubernetes. Implement CI/CD pipelines using Azure DevOps and GitHub. Ensure data quality, governance, security, and platform reliability. Troubleshoot production issues and continuously improve platform performance. Collaborate with cross functional teams to deliver scalable enterprise solutions. Contribute to modern data architectures, including graph and semantic technologies. 🛠️ Required Qualifications 5+ years of experience as a Data Engineer or Azure Data Platform Engineer. Strong experience with: Microsoft Azure Azure Data Factory Azure Synapse Analytics Azure Databricks SQL & Python Azure Data Lake Hands on experience with Kubernetes (AKS), Docker, and CI/CD. Experience with Azure DevOps and GitHub. Strong understanding of Data Governance and Data Quality. Advanced English (mandatory). ⭐ Nice to Have Power Platform (Power Apps / Power Automate) Ansible GraphQL SPARQL & Cypher Ontology Engineering / Knowledge Graphs Microsoft Fabric Experience supporting AI or enterprise analytics platforms Oil & Gas industry experience 💎 What We Offer Full time employment. 100% remote. Competitive salary in ARS. Opportunity to work on cutting edge Azure cloud and data platform projects with a global team.