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Wallet icon Coin icon Rate 6 000 € - 7 200 € / month info
Timer icon Form of cooperation Full-time
Briefcase icon Sector Logistics
Location icon Location 100% Remote

info The reward is calculated upon delivery of 20 MD per month (1MD=8h)

Project duration 7 months with possibility of extension
Period of cooperation 01.04.2025 - 31.10.2025
Start date 01.04.2025 - 07.04.2025
Technology
  • GIT
  • Hadoop
  • Jenkins
  • Kubernetes
  • Ansible
  • Terraform
  • GCP Google Cloud Platform
  • Github
Languages
  • English flag English - active, B2/C1/C2

Project description

  • work in a multicultural and international environment for a leading global logistics company that provides top-notch services and innovations in the field of transport and logistics
  • management and operation of the Hadoop MapR ecosystem for a corporate data lake
  • infrastructure and deployment automation using Ansible, GitOps and CI/CD tools
  • ensuring high availability and optimizing the performance of data workflows
  • troubleshooting and diagnostics of operational problems – logging, debugging, configuration correction
  • user support and ticket resolution as part of operational support
  • participation in on-call emergency services every 3 weeks
  • cooperation with Data Engineering and Cloud teams to optimize and modernize infrastructure
  • Hadoop ecosystem updates and upgrades including component version control

Project requirements

  • at least 5 years of experience operating a Hadoop ecosystem in the role of DevOps/Site Reliability Engineer
  • expert knowledge of Hadoop vanilla distribution (HDFS, YARN, Hive, Spark)
  • excellent knowledge of automation tools (Ansible, Terraform, GitOps)
  • advanced work with CI/CD tools (GitHub Actions, Jenkins)
  • experience with troubleshooting and performance tuning of Hadoop clusters
  • advanced knowledge of the Git version control system and GitOps methodology
  • ability to participate in on-call support every 3 weeks
  • strong scripting skills (Bash, Python) to automate operational processes
  • excellent knowledge of English at a communicative level (B2 and higher)
  • advantage:
    • previous experience with Hadoop MapR distribution
    • Knowledge of Kubernetes and container orchestration
    • experience with cloud platforms (GCP, AWS, Azure)
    • overview in the field of observability and monitoring (Prometheus, Grafana, ELK stack)
    • experience with infrastructure as code (Terraform, CloudFormation)
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