Python Developer Needed for Data Integration & ETL Pipeline Setup (MongoDB & PostgreSQL)

Job Description:We are looking for a Python backend developer to help us build a data ingestion and ETL (Extract, Transform, Load) pipeline for a PropTech platform. The goal is to collect structured/unstructured real estate data, process it, and store it efficiently in our databases.Key Responsibilities:Build a clean Python data pipeline to fetch data from web endpoints and public data sources.Clean, parse, and structure raw incoming data into standardized JSON formats.Integrate and store processed data into MongoDB and migrate it to PostgreSQL.Optimize the pipeline for incremental data updates (handling duplicates and timestamping).Deliver clean, well-documented, and maintainable Python code.Requirements:Strong proficiency in Python and backend development.Experience with data extraction libraries and framework automation (Requests, Beautiful Soup, or similar).Hands-on experience with MongoDB and PostgreSQL.Ability to write clean, modular code.Project Scope:This is Phase 1 of our project, focusing entirely on database setup and the initial Python data pipeline. Long-term collaboration is possible for the right candidate.