Python Data Extraction Engineer

****We are building a data intelligence platform that looks to analyze fragmented public information into structured, actionable business data.
We are looking for a strong **Python Data Extraction Engineer who can discover, extract, clean, normalize and integrate data from government portals, public websites, PDFs, APIs and other open data sources.
This is not a conventional application-development role. The ideal candidate enjoys solving difficult data-acquisition problems involving poorly structured websites, inconsistent government portals, changing schemas, PDFs, JavaScript-rendered pages and large volumes of semi-structured information.
What You Will Own
You will build and maintain the data-acquisition layer of the platform.
Key responsibilities include:

Identify and evaluate government and public data sources relevant to property, businesses and commercial activity.

Build Python-based crawlers and extraction pipelines for government portals and public websites.

Extract structured information from HTML pages, tables, PDFs, downloadable files and publicly accessible APIs.

Work with JavaScript-rendered websites and multi-step public search interfaces.

Automate recurring extraction from multiple sources while respecting applicable access rules, rate limits, and terms.

Clean, standardize and normalize inconsistent data from different government authorities.

Perform **entity matching and record linkage across datasets using fields such as owner name, company name, address, survey number, coordinates and project information.

Develop mechanisms to detect website/schema changes and extraction failures.

Build validation and QA processes to measure completeness and accuracy.

Store extracted information in structured databases and expose clean datasets to downstream applications.

Work closely with GIS, product and engineering teams to combine location-based signals with government/public records.

Research new public and open-data sources that can improve the accuracy and completeness of our intelligence.

Examples of Data Sources
The work may involve sources such as:

Municipal corporation portals

State planning and development authorities

DTCP and similar planning authorities

RERA databases

Building and planning permission records

Land and property records

Tender and procurement portals

Company/business registries

Government open-data portals

Environmental and regulatory approvals

Public notices and downloadable government documents

Maps and geospatial datasets

Other legally accessible public and open-source information

Required Technical Skills
Strong hands-on experience with:

**Python

Web scraping and crawling

Requests / HTTP clients

BeautifulSoup / lxml**********

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.