🛠 Tech Stack

💼 About This Role

You'll design scalable data transformation pipelines and own data quality governance at a VC-backed tech startup. Your work will directly enable customers to navigate complex packaging regulations with clean, structured data.

🎯 What You'll Do

• Build and maintain repeatable frameworks for cleaning and standardizing ERP export data.
• Write Python scripts (pandas, regex) and Excel automation to handle high-volume data.
• Define and enforce data quality standards with validation checkpoints.
• Lead scalable client data onboarding processes for new customers.

📋 Requirements

• 3+ years in data operations or data engineering owning transformation pipelines end-to-end.
• Strong Python skills for data cleaning and automation (pandas, regex).
• Solid Excel skills including Power Query and complex formulas.
• Experience handling messy, real-world data with inconsistent formats and missing fields.