Data Engineer

Skills
Cloud InfrastructureApache KafkaAutocadC++Data EngineeringData ScienceData Warehousing
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • 8+ years of experience with 5+ years in large-scale infrastructure and cloud environments
  • Hands-on experience with AWS and one of GCP or AliCloud
  • Strong experience scaling and operating Kubernetes clusters
  • Proficiency in Golang Python and bash scripting
  • Experience with infrastructure as code tools such as Terraform Pulumi or Crossplane
  • Experience deploying and managing services on Kubernetes with Helm or Kustomize
  • Knowledge of Kubernetes security networking and advanced features
  • Experience building RESTful web services
  • Excellent communication skills and customer collaboration experience
  • Ability to work effectively in an agile environment

Nice to have

  • Fast learner
  • Flexible
  • Collaborative
  • Technically curious
  • Detail-oriented

Day to day

  • Build and maintain the infrastructure that powers a large-scale data platform
  • Design reliable and scalable cloud systems across AWS GCP and AliCloud environments
  • Develop monitoring tools dashboards and automation to support robust Kubernetes-based services

Hiring process

  • Submit application as W2 candidate
  • Interview with engineering team
  • Assess technical fit and cloud infrastructure experience
  • Final stakeholder discussion