Data Observability Engineer

About the role: Looking for a Data Operations Engineer to support and optimize data infrastructure and pipeline operations across high-volume, distributed systems. This role focuses on ensuring reliability, scalability, and performance of data workflows while collaborating with engineering teams to maintain production-grade systems. Key Responsibilities

• Build, maintain, and optimize scalable data pipelines for high-throughput applications
• Support operational health of data systems, ensuring reliability and uptime
• Develop and enhance backend services using C# and Python
• Manage and query large datasets in Snowflake and Google BigQuery environments
• Deploy and maintain containerized applications using Docker in Linux-based systems
• Integrate and manage streaming/data messaging systems such as Kafka (Confluent) and RabbitMQ
• Monitor pipeline performance, troubleshoot issues, and implement improvements
• Collaborate with cross-functional teams to ensure smooth data operations and deployments, * Reliable, efficient data pipeline operations with minimal downtime
• Improved observability and monitoring of data systems
• Timely resolution of production issues and performance bottlenecks
• Well-documented systems and processes for maintainability

Work Environment Fast-paced, engineering-driven culture Opportunity to work on modern data platforms and distributed systems For applications and inquiries, contact:hirings@openkyber.com

• 5+ years of experience in infrastructure and software engineering with exposure to data engineering and pipelines
• Proficiency in C# and Python
• Hands-on experience with Snowflake and/or Google BigQuery
• Strong experience working in Linux/Unix environments and Docker
• Experience building and maintaining data pipelines
• Familiarity with distributed messaging systems such as Confluent Kafka or RabbitMQ
• Ability to work independently in a remote environment while communicating effectively, * Experience with Elastic/ELK stack for logging and monitoring
• Familiarity with Terraform for infrastructure as code
• Experience with Kubernetes for container orchestration