Data Operations Engineer

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

Required Qualifications

• 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

Preferred Qualifications

• Experience with Elastic/ELK stack for logging and monitoring
• Familiarity with Terraform for infrastructure as code
• Experience with Kubernetes for container orchestration