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Skills
Amazon Web Services (AWS)unmatched
Analysis Skillsunmatched
Apache Hadoopunmatched
Apache Hiveunmatched
Automationunmatched
Big Dataunmatched
Business-to-Business (B2B)unmatched
Cloud Computingunmatched
Communication Skillsunmatched
Computer Scienceunmatched
Customer Relationsunmatched
Data Clusteringunmatched
Data Processingunmatched
Data Qualityunmatched
Distributed Computingunmatched
Dockerunmatched
Ecosystemsunmatched
Frequently Asked Questions (FAQ)unmatched
GCP (Good Clinical Practices)unmatched
Identify Issuesunmatched
Javaunmatched
Linux Operating Systemunmatched
Microsoft Windows Azureunmatched
MySQLunmatched
Network Debuggingunmatched
Presentation/Verbal Skillsunmatched
Problem Solving Skillsunmatched
Product Supportunmatched
Python Programming/Scripting Languageunmatched
Redisunmatched
Root Cause Analysisunmatched
SQL (Structured Query Language)unmatched
Software as a Service (SaaS)unmatched
System Operationsunmatched
Systems Administration/Managementunmatched
Technical Supportunmatched
Technical Writingunmatched
Unix Shell Programmingunmatched
Writing Skillsunmatched
Description
This role requires professional fluency in Mandarin Chinese.
About the Role
We are seeking a Technical Support Engineer to support enterprise customers using our big data SaaS platform. This role is customer-facing and hands-on, requiring strong troubleshooting skills across distributed systems, data platforms, and Linux environments.You will work closely with customers and internal engineering teams to resolve complex technical issues, ensure platform stability, and support successful system deployment and operations.
What You'll Do
Provide technical support to enterprise customers, including guidance on SDK usage, data integration tools, and system configuration
Troubleshoot data ingestion issues, investigate data discrepancies, perform data repair and validation, and support data governance initiatives
Deploy, configure, and support big data clusters in customer environments
Monitor system alerts and perform root cause analysis to ensure platform stability, performance, and security
Diagnose issues across application, infrastructure, networking, storage, and performance layers
Collaborate with engineering teams to escalate and resolve complex production issues
Develop and maintain technical documentation, including solution guides, FAQs, and implementation manuals
Contribute to documentation localization and internationalization efforts
What You Bring
Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
3~5 years of experience supporting big data products or enterprise SaaS platforms
Proficiency in Java and experience writing Python or Shell scripts for troubleshooting and automation
Experience working in Linux environments, including debugging networking, storage, performance, and security issues
Solid SQL skills and hands-on experience with MySQL
Understanding of big data ecosystems, such as Hadoop, Hive, Kafka, Redis
Strong analytical and problem-solving skills with the ability to independently drive issues to resolution
Excellent written and verbal communication skills; experience supporting B2B enterprise customers preferred
Nice to Have
Familiarity with distributed data processing frameworks such as Flink or Trino
Experience with container technologies (Docker, Kubernetes)