Responsibilities: 

• Design, implement, and maintain our data pipelines and analytics infrastructure.
• Leverage modern data ops and automation technologies such as Docker, Kubernetes, and Airflow.
• Optimize our data operations, ensuring high availability and performance of our data services.
• Automating workflows and managing infrastructure to enable data-driven decisions.
• Delivering robust and scalable data pipelines and maintaining high system uptime.
• Integrate various data sources and optimize performance.
• Collaborate closely with data scientists, analysts, and other stakeholders.

Requirements: 

• Minimum of 5 years of experience in data engineering, analytics operations, or a related field.
• Fluent English (mandatory).
• Strong SQL skills with experience in writing complex queries and optimizing database performance.
• Hands-on experience with Kubernetes and Docker for container orchestration and management.
• Proficiency in using Apache Airflow for workflow automation and scheduling.
• Experience with air-gapped configurations.