
Data Engineer
3 weeks ago
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)
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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