Job Description
We are building a professional analytics tool for pharmacy purchasing optimization. For Phase 2, we need a talented Python/Data Engineer to: ✔ Build the “Market Analysis” engine ✔ Aggregate & structure datasets from sales, stock, purchases, equivalence groups ✔ Apply rules to group products into “Markets” (e.g., Vitamin C, Cough, ENT…) ✔ Compute totals, margins, stock indicators per market ✔ Output clean reusable datasets (CSV/Parquet) Your responsibilities Load + clean CSV files (CIP13, EAN, sales, stock, suppliers) Normalize product identifiers Build mappings (CIP/EAN → Equivalence group → Market) Aggregate metrics per market Deliver production-ready code with clear documentation Requirements Strong Python + Pandas Experience with ETL / data modeling Excellent accuracy and reliability Ability to respect a strict 10-day deadline Final Deliverables Python script(s) Clean aggregated datasets Documentation explaining logic If you enjoy clean data engineering challenges and want to contribute to a real-world healthcare analytics tool, we’d love to work with you. Apply tot his job