SQL Developer - Bangkok, Thailand
RemoteBangkok, Bangkok, Thailand
Job Summary
SQL Developer will own and optimize manufacturing data systems that directly support production quality, traceability, and operational efficiency across global sites. The role employs Microsoft SQL Server, SSRS, SSIS, and integration tools such as SSIS, sFTP, and Azure Data Factory to design, build, and optimize data pipelines and reports. Primary responsibilities include maintaining and enhancing SQL Server databases, developing and tuning complex T-SQL, designing and maintaining data pipelines across manufacturing sites and cloud systems, building SSRS reports and dashboards, troubleshooting performance and data integrity issues, ensuring data quality, security, and compliance, and managing backups, archival, and data retention. Requirements include 5+ years of experience with Microsoft T-SQL, query performance tuning, data movement across multiple sites (e.g., replication, sFTP), and fluency in English and Thai. Preferred experience includes Azure cloud data platforms, MES, SPC or manufacturing analytics, 24x7 production support, Excel VBA/macros, Python for data processing, AI/ML data preparation, feature datasets, and Power BI or other BI platforms. The role is located in Bangkok, Thailand, and candidates must be local to Bangkok to be considered.
Required Qualifications
- 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.
- 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.
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