Uplers
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PythonData Engineer — Recommendation Engine
About the Company
~~ is India's first Gaming Commerce company, pioneering a new way for 500M+ gamers—an audience growing at 19.6% YoY—to shop inside games.
It is a white-label SaaS plugin that integrates into casual and hyper-casual games, transforming in-game coins into real-world value. Players can redeem them for brand coupons, digital services, or even physical products inside fully customizable in-game stores.
For gaming studios, ~~ directly solves the industry's toughest challenge—low retention—while also boosting monetisation. For brands, it unlocks a massive high-attention audience that already spends billions on in-game experiences, enabling targeted engagement with measurable ROI. Unlike traditional ads, PlaySuper embeds commerce into gameplay itself, improving recall, conversion, and loyalty.
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 great 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
- 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, ECS; you can set up infra without needing DevOps help
- You care about data quality—you monitor pipelines, set up alerts, and feel responsible when something breaks
Strong Plus (Nice to Have)
- Experience with e-commerce or marketplace data—price intelligence, product catalogues, category taxonomy
- Familiarity with recommender system data patterns
- Experience with Spark or distributed processing for larger datasets
- Prior work on gaming or consumer mobile products
Location: Gurgaon
Compensation: Competitive salary with an opportunity to get meaningful equity
Reports to: CTO
Why PlaySuper?
- Your pipelines feed the system that directly drives real GMV for our studio partners
- Small team, fast decisions, no bureaucracy
- Work directly with the CTO on architecture and direction
- Direct impact visible within weeks of shipping
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Python
NodeJS (Node.js)Software Engineer
Onsite - HSR Bangalore
6 Days work from Office (Flexible working hours)
Product is a PowerPoint AI assistant used by consulting companies and Fortune 500 teams. A typical professional spends 1 to 3 hours creating one slide. With Product company, they create a v1 of their entire deck in 10 minutes, and make changes like “turn this table to a chart” in seconds directly within PowerPoint.
In the next 2 years, our goal at company is to forever change the way business presentations are made.
Who are we?
- small, strong team of 5
- founders are CS graduates from IIT Kharagpur with a specialisation in AI
- work 6 days a week from our office in HSR Layout in Bangalore
- funded by Y Combinator and other amazing investors
- used by consulting companies and Fortune 500 teams
Your responsibilities (in order)
- Design, implement, test, and deploy full features
- Design and implement a robust infrastructure to enable rapid development and automated testing
- Look at usage data to iterate on features
What we’re looking for
- Undergraduate or master's in Computer Science or equivalent degree
- 2+ years of backend or DevOps software engineering experience
- Experience with TypeScript (JavaScript) or Python
You’ll be a good fit if
- You want to work on a product that can change the way a very large number of people work
- The chaos of high growth and things breaking is exciting to you
- You are a workaholic, looking to upskill faster than most people think is possible. This role is not a good fit for you if you’re looking to prioritise work-life balance.
- You prefer working in-person with other smart people who are excited and passionate about what they’re building
- You love solving very hard problems at a rapid pace. We discuss timelines in days or weeks, so you’ll constantly be expected to ship really high-quality work.
Perks
- Comprehensive health insurance for you and dependents
- Workstation enhancements
- Subscriptions to AI tools such as Cursor, ChatGPT, etc.
(If there's anything else we can do to make your work more enjoyable, just ask)
If you are interested in proceeding, we would be happy to move your profile to the next stage of the evaluation process.
Kindly share the following details to help us take this forward :
- Current CTC (Fixed + Variable):
- Expected CTC:
- Notice Period (If currently serving, please mention your Last Working Day)
- Details of any active offers in hand (if applicable)
- Expected/Available Date of Joining (if applicable)
- Attach Updated CV:
- Attach Github Link / Leet code link or other:
- Current Location:
- Preffered Location:
- Reason for job Change:
- Reason for relocation (if applicable):
- Are you comfortable with 6 days wfo (flexible working hours)?( Yes / No):
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