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2-5 Years
Not Disclosed
  • Posted 2 months ago
  • Over 50 applicants have applied

Job Description

About the Role: We are looking for a hands-on Data Engineer to join our team and take full ownership of scraping pipelines and data quality. You'll be working on data from 60+ websites involving PDFs, processed via OCR and stored in MySQL/PostgreSQL. You'll build robust, self-healing pipelines and fix common data issues (missing fields, duplication, formatting errors).

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: Delhi (in-office only)

Salary Range : 50-80k/Month

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