EPAM Systems

EPAM Systems

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19 días
Expira 18/07/2025

Senior Data DevOps Engineer

Senior Data DevOps Engineer

Responsibilities

  • Monitor and manage Hadoop and big data infrastructure for production and UAT environments, ensuring optimal utilization across all teams and use cases.
  • Set up Hadoop infrastructure across dev, pre-prod, and prod that are separate from Compliance.
  • Separate out compute clusters from storage clusters, enabling exploration of cloud opportunities for storage or compute independently.
  • Manage customer escalations and be the first point of contact for troubleshooting issues.
  • Enhance troubleshooting tools and enrich debugging and monitoring alarms to help engineers with troubleshooting and incident analysis.
  • Collaborate with cross-functional teams to ensure successful project delivery.

Requirements

  • A minimum of 3 years of experience in DevOps, with a focus on data and infrastructure management.
  • Expertise in Apache Hadoop and Big Data, with experience setting up and managing Hadoop infrastructure across multiple environments.
  • Strong knowledge of Security Incident Management, with experience in managing customer escalations and troubleshooting issues.
  • Experience in separating compute clusters from storage clusters, enabling exploration of cloud opportunities for storage or compute independently.
  • Strong analytical and problem-solving skills, with a focus on enhancing troubleshooting tools and debugging and monitoring alarms.
  • Excellent communication skills and the ability to work collaboratively with cross-functional teams.
  • Fluent spoken and written English at an Upper-Intermediate level or higher.

Nice to have

  • Experience in cloud platforms, such as AWS or Azure.
  • Knowledge of containerization technologies, such as Docker or Kubernetes.
  • Experience with scripting languages, such as Python or Bash.
  • Familiarity with configuration management tools, such as Ansible or Chef.
  • Expertise in performance tuning and optimization for big data applications.

We offer

  • International projects with top brands.
  • Work with global teams of highly skilled, diverse peers.
  • Healthcare benefits.
  • Employee financial programs.
  • Paid time off and sick leave.
  • Upskilling, reskilling and certification courses.
  • Unlimited access to the LinkedIn Learning library and 22,000+ courses.
  • Global career opportunities.
  • Volunteer and community involvement opportunities.
  • EPAM Employee Groups.
  • Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn.