The Role
We're building a recommendation engine that surfaces the right products to the right player at the right moment inside our in-game store. A core challenge: we have limited in-app behavioural data today, so the system must rely heavily on external market signals to make outstanding recommendations from day one.
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, Google Trends API for brand and category demand signals
Build the Deal Quality Score pipeline—a daily batch job that computes a competitiveness score for every product in our catalogue, stored in Redis for sub-millisecond lookup at serving time




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
accumulates
Build ETL infrastructure (S3 + Spark/Glue) for longer-horizon trend and market data
Own data quality and freshness SLAs—you are responsible when a signal the reco engine depends on breaks silently

What We're Looking For
3–5 years of data engineering experience, ideally at a startup or product company
Solid Python—you write clean, production-grade pipeline code, not just notebooks
Experience building and maintaining web scrapers or data collection pipelines at scale
Hands-on experience with a workflow orchestrator—Airflow, Prefect, or equivalent
Solid SQL; experience with ClickHouse or another OLAP database is a robust plus
Familiarity with Redis as a serving layer—you understand TTL, key

📌 Data Engineer — Recommendation Engine Gurugram (India)
🏢 Remotestar
📍 India