Solar Manufacturing Process Technician — Lean & Optimized

gobravvo; Georgia; On-site; USD 31,000 - 32,000; Full time

Job summary

TRC Talent Solutions seeks a Process Technician for a White, GA solar panel production facility. This full-time role focuses on monitoring, optimizing, and maintaining production processes to meet efficiency and quality goals.

You will troubleshoot, perform quality checks, and work with engineering, maintenance, and quality teams while following safety and environmental standards. Lean manufacturing knowledge and strong data analysis skills are essential.

Qualifications

• 2+ years of manufacturing experience.
• Experience in solar panel production or related field preferred.
• Strong problem-solving and analytical skills.
• Familiarity with lean manufacturing principles.
• Six Sigma is a plus.
• Proficient in reading technical drawings and specs.

Responsibilities

• Monitor production processes within established parameters to optimize efficiency and quality.
• Identify and implement process improvements to reduce waste and improve product standards.
• Conduct routine equipment inspections and address potential issues.
• Diagnose and resolve process-related problems to minimize downtime.
• Collaborate with maintenance for repairs and replacements.
• Assist in setup and calibration of machinery for production runs.
• Collect, analyze, and report process data for continuous improvement.
• Ensure compliance with safety, quality, and environmental regulations.

Skills

Problem solving

Analytical skills

Reading drawings

Communication

Data analysis

Tools

Microsoft Office

Data analysis tools

Job description

TRC Talent Solutions seeks a Process Technician for a White, GA solar panel production facility. This full-time role focuses on monitoring, optimizing, and maintaining production processes to meet efficiency and quality goals.

You will troubleshoot, perform quality checks, and work with engineering, maintenance, and quality teams while following safety and environmental standards. Lean manufacturing knowledge and strong data analysis skills are essential.