
Data 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

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Fatakpay Digital Private Ltd (Fatakpay) is a digital-only lending platform that provides short-term personal loans (STPL) through QR-based credit lines. It was founded by four IIT- B, Erasmus University alum, and 70+ years of combined experience in Tech and Finance.
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- Represent our company, with a comprehensive understanding of our offerings
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- Hire, train, motivate, and advise a team of sales representatives
- Achieve company objectives through effective planning, setting sales goals, analyzing performance data, and projecting future performance.
- Continuously develop personal leadership, hiring, and training skills while ensuring the team is using effective sales tactics to meet revenue objectives.
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Daily and Monthly Responsibilities
- Create and execute a strategic sales plan that expands customer base and extends global reach
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Job Description
We are seeking a passionate candidate, who is result orientated, sound knowledge of IT services, with either a proven track record of proposal writing and proposal/bid management in government or commercial proposals. The consultant will be accountable for technical writing for business proposals and managing large and complex proposals as projects.
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CreatorOS is enabling the Passion Economy. The next wave of entrepreneurs will not only be digital first but digital only. We will enable this new class of entrepreneurs. We have over a 1000 creators building their content apps using our platform, monetizing their content and building engaging communities. Our creators include fitness coaches, educators, and artists, many of whom depend on Socionity as their primary source of livelihood.
**Must have skills:**
a) You have been part of a fast pace sales org, with minimum 1 year of experience in Business development representative/ inside sales/outbound sales/tele sales
b) Track record of achieving sales quotas.
c) Good understanding of the sales techniques including cold calling
d) Understanding of sales performance metrics
e) Excellent presentation, communication and negotiation skills
**Bonus points** if you have any of the below.
a) Worked in sales & growth roles in fitness and edtech sales
b) Have worked on social media influencer engagements
c) You are a social media influencer yourself- especially in fitness, education, arts etc,
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You will be focused on growing our user (creator) base in fitness, learning and arts categories
- Contact potential creators through cold calls and emails
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