Lead Data DevOps Engineer Budapest, Hungary or Remote
Lead Data DevOps Engineer Description
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.
#LI-DNI
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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