Data Engineer — Recommendation Engine

About the role

As our first Data Engineer, you will own the data infrastructure that makes this possible. You'll build the pipelines that collect, process, and serve these signals into our real-time ranking system. This is a foundational hire. The entire recommendation engine—from Deal Quality Scores to seasonal trends—depends on the pipelines you build.

What you'll do

• Own external data pipelines —scrapers for Flipkart/Amazon bestseller rankings, PriceHunt/Smartprix for price benchmarking
• Build the Deal Quality Score pipeline —a daily batch job that computes a competitiveness score for every product in our catalogue
• Maintain a seasonal and festive calendar —structured data store for trend overlays (IPL, Diwali, back-to-school, etc.)
• Design and own the in-store event schema in ClickHouse that will power behavioural cohorts as in-app data
• Build ETL infrastructure (S3 + Spark/Glue) for longer-horizon trend and market data

What you need

• 3–5 years in data science & ai
• SQL
• Python
• AWS
• Spark
• Airflow
• Redis
• Any graduate

Good to have

• ETL