Cloud Engineer As a Cloud Engineer, you'll play a pivotal role in bridging raw data to actionable insights. If you're a detail-oriented, analytical individual passionate about data and cloud technologies, this position offers an exciting opportunity to contribute to data reliability, optimize performance, and drive data-driven decision-making.
Key Responsibilities: Build Robust Data Systems and Pipelines:
Design and implement data systems and pipelines to efficiently handle and process raw data.
Evaluate business needs and objectives to tailor data solutions accordingly. Enhance Data Quality and Efficiency:
Identify opportunities to improve data quality and reliability.
Explore innovative ways to enhance efficiency in data processing and storage. System Management and Automation:
Participate in managing systems, utilizing existing tools and data repositories effectively.
Support, maintain, and automate monitoring and application infrastructure to ensure reliability. Requirements: Educational Background: Bachelor's degree in computer science, Information Technology, Engineering, or related technical field. Cloud Certification: MS Azure AZ-104 + DP-203 or equivalent. Technical Proficiency:
Experience with Elasticsearch, Kafka, RabbitMQ, Infrastructure as Code (IaC) tools like Terraform/Cloud Formation/Azure Resource Management Templates.
Proficiency in configuration management systems (e.g., Ansible/AWX), automation pipelines (e.g., Azure DevOps), and Version Control (e.g., git).
Strong understanding of containerization and orchestration technologies such as Docker/Kubernetes.
Familiarity with monitoring and logging tools like Prometheus/Grafana.
Knowledge of various storage technologies (NFS/SMB/Object) and managing storage accounts and resources.
Good understanding of networking concepts with experience in troubleshooting OSI Layers 2-7.
Strong scripting abilities in Python or PowerShell. If you are interested in learning more about this role, please email your CV to ****** or call 00 353 12449531.
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