Lead Data DevOps Engineer with Azure expertise

We are seeking a Lead Data DevOps Engineer with expertise in Azure to spearhead the design and enhancement of our data infrastructure and workflows. You will oversee scalable data implementations on Azure, working closely with data engineering and other teams to maintain efficient pipelines, system reliability, and performance. Apply today to be a key contributor to our cloud data operations. **Responsibilities** * Lead the design and management of data infrastructure using Azure services such as Data Lake (ADLSv2\), Databricks, Synapse, and Data Factory * Collaborate with data engineering teams to develop and optimize workflows and data pipelines * Automate data operations using Python to improve efficiency and reliability * Configure and manage CI/CD pipelines with Jenkins, GitHub Actions, or similar platforms * Work with cross\-functional teams to enhance the scalability, reliability, and performance of data systems * Deploy and maintain data tools like Apache Spark and Apache Kafka in cloud and on\-premises environments * Monitor data systems for performance and scalability issues and resolve them * Troubleshoot complex data platform and pipeline challenges **Requirements** * Minimum 5 years of experience in Data Engineering or a related field * At least 1 year experience leading and managing development teams * Advanced skills in Python programming and batch processing workflows * Strong SQL knowledge for handling large datasets * Extensive experience with Azure cloud services for data infrastructure management * Practical experience with Infrastructure as Code tools such as Ansible, Terraform, or CloudFormation * Proficiency in setting up and managing CI/CD pipelines with Jenkins, GitHub Actions, or equivalent * Experience with data processing and workflow automation tools like Spark, Airflow, or R * Advanced Linux operating system skills including scripting and system administration * Strong knowledge of network protocols including TCP, UDP, ICMP, DHCP, DNS, and NAT * Fluent English communication skills at B2\+ level **Nice to have** * Familiarity with other cloud platforms such as AWS or GCP * Experience with Kubernetes for container orchestration * Knowledge of monitoring and observability tools such as Prometheus, Grafana, or Azure Monitor * Exposure to Big Data technologies and analytics processes * Experience implementing data governance and security in cloud environments