Currently we are looking for a self-motivated, enthusiastic Data DevOps Engineer to join our team and be an essential resource for managing the Big Data platform environment.
#LI-DNI#Not found
Responsibilities
- Implement and integrate modern data analytics solutions in cloud (AWS/GCP/Azure)
- Build and maintain high-performance, cloud-based, scalable distributed systems and Cloud-based infrastructure environments
- Build proactive monitoring systems (Prometheus, Grafana, etc.)
- Create and maintain CI / CD pipelines (Jenkins, Gitlab-CI, TeamCity, JFrog, etc.)
- Assist in troubleshooting and providing solutions for software defects and production issues
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- 2 years of practical experience in the DevOps sphere
- Proficiency in data processing and management
- Understanding of Big Data purpose and main concepts
- Good English, both verbal and written
- Hands-on experience with Cloud
- CONTINUOUS UPSKILLING, LEARNING & DEVELOPMENT:
- Diversity of tasks and projects
- Assessment center for objective review of competency level
- Personal development plan
- Mentoring programs and leadership development
- Certification and professional development support
- Access to learning platforms including more than 2,500 internal courses and the LinkedIn Learning library with 20,000+ courses
- English courses taught by certified teachers
- CORPORATE BENEFITS:
- Extra leave days
- Referral bonuses
- COMPENSATION PACKAGE:
- Competitive compensation paid in USD
- Regular salary and performance reviews
- MEDICAL & HEALTHCARE:
- Private health insurance
- Well-being events
- WORKING ENVIRONMENT:
- Recreation areas and kitchens
- Tea, coffee, and snacks
- Well-being events
- Sports equipment and game consoles
- IT Equipment
- Microsoft's Software Assurance Home Use Program (HUP)