Data Engineer

Data Engineer (Pipeline + Scraping + Enrichment) — Bhashsms

Location: Bangalore

Experience: 1–3 years

Compensation: ₹8–12 LPA

Role Type: Hands-on IC

About the Role

We process millions of phone numbers, business profiles, and campaign interactions.

We need a Data Engineer who can build and scale data pipelines to support AI models and enrich SME data.

This role is perfect for someone who loves:

• Scraping
• ETL
• Data cleaning
• Automating workflows
• Fast execution

What You Will Build (First 180 Days)

1. Data Ingestion Pipelines

• Scrape open directories
• Parse public business information
• Integrate partner APIs
• Build clean datasets

1. Data Cleaning + Normalization

• Remove duplicates
• Standardize numbers
• Tag location, industry, business type
• Build category mapping files

1. Enrichment Pipelines

• Infer attributes
• Build connection graphs
• Support the Data Scientist with clean feature-ready data

Skills Required

Must Have

• Python (requests, BeautifulSoup, Selenium optional)
• SQL
• ETL tools or custom scripts
• Experience with large CSV/JSON processing
• API integration

Good to Have

• Kafka / Airflow basics
• Scrapy
• AWS / GCP
• Basic ML familiarity (not mandatory)

Responsibilities

• Build scalable scraping system
• Maintain clean, up-to-date datasets
• Create ETL pipelines for ML models
• Ensure high data quality
• Debug pipeline failures
• Support DS and CTO with data requirements