Data Engineer (Scraping & Pipeline Stabilization)

5 years

0 Lacs

Posted:2 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

About the Role:

Responsibilities:

  • Own and optimize Airflow scraping DAGs for 60+ sites
  • Implement validation checks, retry logic, and error alerts
  • Build pre-processing routines to clean OCR'd text
  • Create data normalization and deduplication workflows
  • Maintain data integrity across MySQL and PostgreSQL
  • Collaborate with ML team for downstream AI use cases

Requirements:

  • 2–5 years of experience in Python-based data engineering
  • Experience with Airflow, Pandas, OCR (Tesseract or AWS Textract)
  • Solid SQL and schema design skills (MySQL/PostgreSQL)
  • Familiarity with CSV processing and data pipelines
  • Bonus: Experience with scraping using Scrapy or Selenium

Location:

Minimum 3 years experience

must be a graduate: b tech preferred / BCA/ MCA /BSc /MSc


Mandatory keywords (must have skills)


scraping

python

selenium

NumPy

Pandas


Optional Keywords: (good to have the following skills)


Beautiful soup

MySQL

Large Language Model ( LLM)

Machine Learning

Natural Language Processing (NLP)

GitHub

Django

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