Data Engineer

Role: Data Engineer

Function: Data Platform

Location: Gurgaon

Type: Full-time

Compensation: 45-60+ LPA + ESOPs

About the Company:

An early-stage, US-based venture-backed technology company focused on creating innovative platforms for building meaningful relationships. They aim to transform how people connect by harnessing artificial intelligence, fostering community engagement, and delivering tailored content.

Rather than developing another conventional social app, they’re crafting a unique experience that resonates deeply with users, making them feel truly understood. Central to our platform is a dynamic, machine-learning-powered recommendation system, drawing inspiration from the personalised discovery engines of leading music and video platforms.

With strong financial backing from top-tier venture capital firms in India and the United States, they are well-positioned to advance our mission with innovation and impact.

Company Philosophy:

They believe:

• Great data + Good models = Great recommendations
• Good data + Great models = Average recommendations

That’s why they’re investing in data infrastructure from our inception and foundation.

Position Overview:

We are looking for a Data Engineer to help design, build, and scale the data platform and

infrastructure that powers our core recommendation systems and personalisation engines.

You’ll be a founding data engineer helping us lay the pipelines and infrastructure that feed our recommendation systems, onboarding flows, engagement metrics, dashboards, and ML models. You'll work hand-in-hand with our ML team to build data adapters and interfaces for model training, serving, and experimentation.

Role & Responsibilities:

• Build and scale ETL from raw app events to ML-ready features
• Build real-time and batch pipelines for user actions and events
• Contribute to the feature store, embedding pipelines, data validation, and freshness monitoring systems
• Design data layers for use in A/B tests, product metrics, and ML training
• Partner with ML engineers to deliver data adapters for model inputs, embedding generation, and training loops
• Help evolve the core event schema and data model with privacy, observability, and performance in mind

Ideal Profile:

You’re a systems thinker who starts with data and designs for scale. You’ve likely been at

early-stage or high-scale consumer platforms — social, gaming, transactions, or media.

• Experience: 3–6 years building scalable data systems in fast-moving environments.
• Industry Fit: Experience supporting RecSys, ML, or content feeds in social or consumer platforms.
• ML/RecSys Awareness: Understands how features feed into models, or has worked closely with ML teams before.
• Product Empathy: Understands how data impacts user experience, not just analytics.
• Tools Fluency: Proficient in Kafka, Spark, Flink, Airflow, dbt, Redis, BigQuery, Feast, Terraform; can pick the best tool for the job.

Nice to have:

• Experience with personalization systems, recommender pipelines, or ranking models
• Exposure to A/B testing platforms or online experimentation infrastructure
• Passion for consumer social or dating products

What we offer: 

• Join a founding data team where your work is core to product experience
• Shape key decisions for a platform that will directly impact how people form meaningful relationships
• Significant ESOPs and wealth creation with market competitive cash compensation