Data Engineer

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. Responsibilities: - Own external data pipelines for Flipkart/Amazon bestseller rankings, PriceHunt/Smartprix for price benchmarking, and 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. Requirements: - 3-5 years of data engineering experience, ideally at a startup or product company. - Strong 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 strong plus. - Familiarity with Redis as a serving layer, you understand TTL, key design, and cache invalidation. - Comfortable with AWS S3 Glue and ECS, you can set up infrastructure without needing DevOps help. - You care about data quality, you monitor pipelines, set up alerts, and feel responsible when something breaks. Company Summary At PlaySuper, we're revolutionizing mobile gaming and brand engagement. Our white-labeled SDK/API empowers hyper-casual, casual, and mid-core game studios to enhance user retention, increase ad revenue, and unlock new monetization opportunities. By seamlessly integrating rewards from 150+ D2C brands, we help target untapped gamer audiences while enabling brands to boost their ROAS by reaching highly engaged players. With PlaySuper, game studios and brands come together to create win-win experiences that drive measurable growth and engagement. Globally, there are 3 billion mobile gamers spending hours every day in games they love. But there was a fundamental disconnect: players got nothing beyond entertainment, developers struggled with retention and limited monetization, and brands couldn't reach this massive audience authentically. We realized gaming engagement is valuablenot just for fun, but as a bridge to real-world commerce. What if the hours players already spend could earn them real rewards? What if developers could increase retention without disrupting gameplay? What if brands could reach gamers through value, not interruption? That's when we decided to build PlaySuper. A platform where players earn rewards for achievements, developers unlock new revenue streams, and brands connect with engaged audiences. Everyone wins. We call it Gaming Commerce.

Required Skills ['Python', 'Airflow', 'Data Analysis', 'ETL', 'NoSQL', 'Redis', 'Spark', 'SQL']

Additional Information

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