Description

You will ensure the reliability, scalability, and performance of systems supporting Data Engineering Projects.

This role is on-site.

Responsibilities

• Design and engineer highly scalable, high-availability systems for high-throughput workloads.
• Develop, deploy, and manage monitoring systems with proactive alerting to identify and resolve issues.
• Automate routine tasks including deployments, monitoring, and policy enforcement using suitable frameworks.
• Optimize system performance by identifying bottlenecks and implementing appropriate solutions.
• Respond to system outages, perform root cause analysis, and implement fixes to prevent future incidents.

Required Skills

• 6+ years of hands-on experience maintaining large-scale, high-availability Data Engineering solutions.
• Expertise with cloud platforms, specifically Microsoft Azure.
• Proficiency in Cloud infrastructure and CI/CD frameworks for Infrastructure as Code (IaC) using Terraform, ARM, and YAML.
• Hands-on experience with cloud-native containerization and deployment using Docker and Kubernetes (k8s).
• Experience with large-scale Azure DevOps and Azure PaaS components.
• Tool knowledge including Argo, Terraform (CLI), Azure-CLI, Kubectl, Flux, Helm, Istio, and Grafana.
• Strong Kubernetes administration skill set.
• Programming experience in Python or Go.
• Deep understanding of Service Level Objectives (SLOs), Service Level Indicators (SLIs), and error budgeting.

Key Skills

Education

Any Graduate