Senior Data DevOps Engineer

Responsibilities

• Participate in design and deployment of modern data analytics solutions in cloud, including IoT analytics, streaming, decision support, using 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
• Learn market leading technologies

Requirements

• Bachelor’s/Master’s Degree in Information Technology or Economics with a strong IT attitude
• At least 3-5 years of DevOps or System Administration-related experience
• Experience in debugging a Java and/or Python application
• Understanding of Big data purpose and main concepts
• Experience in container-based services
• Solid experience with GIT
• Good English command, both verbal and written
• Experience in any cloud platform (AWS, Azure or GCP etc.)

Nice to have

• Experience in creating CI/CD pipelines
• Infrastructure as Code (Ansible, Terraform, AWS CDK etc.)
• Experience in any Big data related components

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