Data Observability Engineer
Openkyber
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
- 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
- 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
Fast-paced, engineering-driven culture Opportunity to work on modern data platforms and distributed systems
For applications and inquiries, contact:View email address on us.fitly.work
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