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

2. Data Cleaning + Normalization

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

3. Enrichment Pipelines

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

Skills Required

Must Have

Python (requests, Beautiful Soup, 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