Key skills
Big DataCloud technologiesSecurityDockerKubernetesDBMS Concepts/SQLLinux SkillsJavaPythonBashSQLAIAnalyticsSparkHadoopAWSAzureGCPLDAPCommunicationSales
About this role
Starburst is the data platform for analytics, applications, and AI, unifying data across clouds and on-premises to accelerate AI innovation. As a Customer Support Engineer, you will be responsible for supporting SEP and Galaxy customers with technical inquiries, ensuring they maximize their experience with Starburst products.
Responsibilities:
- Respond to and resolve Galaxy & SEP customer inquiries via chat, email, or call session, within specified SLA windows
- Contribute to our customer-facing self-serve knowledge base
- Collaborate with our pre and post-sales teams to ensure cross-functional alignment and customer satisfaction
- Enthusiastically participate in ongoing personal learning including active participation in team training and development
- Escalate and manage escalated issues with Engineering to ensure good outcomes for our customers
Requirements:
- Background in deploying and debugging complex systems
- Background in distributed systems
- Hadoop
- Cloud technologies
- Security
- DBMSs
- Navigating a complex Java codebase
- Strong communication skills
- Ability to function in a fast-paced dynamic environment
- Curiosity to learn and explore various approaches and solutions
- Desire and ability to learn and work cross-functionally in a highly customer-success-oriented company
- Respond to and resolve Galaxy & SEP customer inquiries via chat, email, or call session, within specified SLA windows
- Contribute to our customer-facing self-serve knowledge base
- Collaborate with our pre and post-sales teams to ensure cross-functional alignment and customer satisfaction
- Participate in ongoing personal learning including active participation in team training and development
- Escalate and manage escalated issues with Engineering to ensure good outcomes for our customers
- Big Data (Hadoop, Data Lakes, Spark)
- Docker and Kubernetes
- Cloud technologies (AWS, Azure, GCP)
- Authentication (LDAP, OAuth2.0)
- Authorization technologies
- SSL/TLS
- Linux Skills
- DBMS Concepts/SQL Exposure
- Languages: SQL, Java, Python, Bash