Position: Data DevOps Engineer
Company: EPAM
Experience required: 3y
English level: intermediate

RESPONSIBILITIES
Design and implement modern data analytics solutions in the cloud, including IoT analytics, streaming, and decision support, using the most advanced technologies
Involve in processing and storing huge amounts of data using cutting-edge technologies and best industrial practices
Building and maintaining high-performance, cloud-based, fault-tolerant, scalable distributed software systems
Implement efficient monitoring and log-collection mechanisms for proactive alerts and reliability
Take part in Machine Learning (ML), in Data and Delta Lake building hosted in private and public clouds and much more
Assist developers in building POCs for various solutions
Create infrastructure as a Code, perform configuration management
Build and maintain CI/CD pipelines
Performance and security engineering

REQUIREMENTS
Bachelor’s/Master’s Degree in Information Technology or Economics with a strong IT attitude
3+ years of DevOps OR related experience
Experience in debugging a Java and/or Python application
Experience in any cloud platform (AWS, Azure or GCP etc.)
Understanding of Big data concepts
Experience in container-based services
Solid experience with GIT
Experience with CI/CD pipelines
Fluent English skills, both verbal and written

NICE TO HAVE
Infrastructure as Code (Ansible, Terraform, AWS CDK etc.)
Experience with Kafka and/or Spark
Experience with any Data related Databases like HBase, Cassandra, MongoDB, Redis etc
Experience with Elasticsearch
Monitoring tools like Splunk and AWS CloudWatch