WANTED: Python Web Scraping & Data Pipeline Engineer Needed — Postgres + Real Estate Data

We are building a real estate intelligence platform and need a strong Python data automation engineer to help speed up our data engine. Current stack: - Python - PostgreSQL - OpenClaw / browser automation - Web scraping / data extraction - Data cleaning and normalization What we need: - Scrape/crawl real estate project data from online sources - Clean and normalize developer, project, location, price, payment plan, handover, and unit data - Store the data properly in Postgres - Build repeatable update scripts, not one-time messy scripts - Add change detection for price changes, payment plan changes, new projects, and availability changes - Make the data reliable, structured, and easy for our platform to use We prefer to start with a paid trial task. If the work is good, this can become ongoing part-time or full-time work. Please apply with: 1. Examples of scraping/data pipeline projects you built 2. Your experience with Python + PostgreSQL 3. Tools you used: Playwright, Selenium, Scrapy, BeautifulSoup, or similar 4. Your availability this week 5. Your hourly rate or fixed-price suggestion Important: We are not looking for a basic script writer. We need someone who understands clean data structure, reliability, and repeatable pipelines.