305 King St W
Suite 1100
Kitchener, ON N2G 1B9
Canada
Lead Data DevOps Engineer Hungary or Remote
Lead Data DevOps Engineer Description
No less important is the safety, well-being, and experience of our applicants. Therefore until further notice, all EPAM employment interviews will be conducted remotely. Our recruitment professionals and hiring managers are standing by to ensure a robust and engaging virtual candidate experience. We look forward to speaking with you! For further information please check our web site at www.epam.com.
DESCRIPTION
Currently we are looking for a Lead Data DevOps Engineer for our Data Practice in Hungary to make the team even stronger.
Learn more about our Data Practice here.
What You’ll Do
- 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
What You Have
- 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, high speed, high growth 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
- Sport and social teams support, recreation area, advanced CSR programs