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As a Platform Technical Support Engineer, you will provide technical support for Spark Platform related issues and resolve any challenges involving the Databricks unified analytics platform. You will assist customers in their Databricks journey and provide them with the guidance, knowledge, and expertise that they need to accomplish value and achieve their strategic goals using our products. They will look to you for answers to everything from basic technical questions to complex architectural scenarios spanning across the entire Big Data ecosystem. You will report to the Sr. Manager, Technical Solutions.
Job Responsibility:
Troubleshoot and resolve complex customer issues related to Databricks platform
Provide best practices support for custom-built solutions developed by Databricks customers
Deliver suggestions for improving performance in customer-specific environments
Assist with issues around third-party integrations with Databricks environment
Demonstrate true sense of ownership and coordinate with engineering and escalation teams to achieve resolution of customer issues and requests
Participate in the creation and maintenance of company documentation and knowledge articles
Be a true proponent of customer advocacy
Strengthen your AWS/Azure and Databricks platform expertise through learning and internal training programs
Be a team player and coach other team members
Requirements:
Minimum 5 years' experience designing, building, testing, and maintaining Python/Java/Scala based applications
Solid experience with SQL-based database is required
Strong Linux/Unix administration skills
Hands-on experience with AWS or Azure
Native level in Korean and highly proficient in English (both written and verbal communication)
Demonstrated analytical and problem-solving skills, particularly those that apply to a "Distributed Big Data Computing" environment
Bachelor's degree in Computer Science or related field
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