SQL Developer - Bangkok, Thailand

Description

Ready to revolutionize AI datacenter thermal control solutions and deployments? Phononic is the place for you. Phononic Thailand is seeking a results-oriented individual to join our Information Technology organization to deliver industry leading innovative products in support of revolutionizing cooling solutions for AI datacenters. The SQL Developer will own and optimize manufacturing data systems that directly support production quality, traceability, and operational efficiency across global sites. Tech stack includes Microsoft SQL Server, SSRS, and integration tools such as SSIS, sFTP, and Azure Data Factory.

Primary Responsibilities:

• Maintain and enhance SQL Server databases (tables, views, stored procedures, functions)
• Develop and optimize complex T-SQL for applications and reporting
• Design and maintain data pipelines across manufacturing sites and cloud systems
• Build and support SSRS reports and dashboards
• Troubleshoot performance and data integrity issues
• Ensure data quality, security, and compliance
• Manage backup, archival, and data retention processes

Requirements

General Requirements:

• 5+ years of experience developing stored procedures using Microsoft T-SQL
• Experience with query performance tuning, including indexing and data pre-processing
• Experience with data movement across multiple sites (e.g., replication, sFTP)
• Language fluency in English and Thai, both written and verbal
• Note that this position will be located in Bangkok, Thailand. Candidates must be local to Bangkok to be considered for this role.

Preferred Experience:

• Experience with Azure cloud data platforms
• Familiarity with Manufacturing Execution Systems (MES)
• Exposure to Statistical Process Control (SPC) or manufacturing analytics (Yield analysis, Defect analysis, OEE monitoring, Traceability systems)
• Experience supporting engineering or production systems in a 24x7 environment
• Excel automation (VBA/macros)
• Experience with database monitoring tools and alerting systems.
• Experience using Python for data processing or automation.
• Familiarity with AI/ML data preparation, feature datasets, or AI-driven analytics platforms.
• Experience with Power BI or other business intelligence platforms.