Lead Data DevOps Engineer

Role Summary

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

Currently, we are looking for a Lead Data DevOps Engineer for our Data Practice in Hungary to make the team even stronger.

Responsibilities - Design, implement and integrate modern data analytics solutions in Cloud

• Build and maintain high-performance, cloud-based, scalable distributed systems
• Build proactive monitoring systems (Prometheus, Grafana, etc.)
• Maintain and optimize Cloud-based infrastructure environments
• Create and maintain CI/CD pipelines (Jenkins, Gitlab-CI, TeamCity, JFrog, etc.)
• Involve in communication with Engineers and Customers to clarify requirements to ensure constant smooth delivery of working software to production
• Mentor less-experienced colleagues
• Engage the team for efficient collaboration

Requirements - Bachelor's / Master's Degree in Information Technology or Economics with a strong IT attitude

• Experience in any cloud platform (AWS, Azure or GCP etc.)
• Practical knowledge of containers (Docker)
• Up-to-date knowledge of CI/CD processes
• Understanding of Big data concepts
• Knowledge of Network functioning principles (Basic protocols, Routing, NAT, VPN, etc.)
• Scripting experience (Bash, Python, Java, JS, etc.)
• Experience in writing Infrastructure as Code (Ansible, Terraform, AWS CDK etc.)
• Knowledge of SQL and / or NoSQL Databases (HBase, Cassandra, MongoDB, Redis etc.)
• Self-directed person with strong problem solving and troubleshooting skills
• Fluent English

Nice to have - Cloudera (HDP), Hadoop

• Kafka and / or Spark
• Elasticsearch (ELK)

We offer - Dynamic, entrepreneurial corporate environment

• Diverse multicultural, multi-functional, and multilingual work environment
• Opportunities for personal and career growth in a progressive industry
• Global scope, international projects
• Widespread training and development opportunities
• Unlimited access to LinkedIn learning solutions
• Competitive salary and various benefits
• Advanced wellbeing and CSR programs, recreation area

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