MeantToBe

MeantToBe

MeantToBe Data Engineer

Gurugram3 - 6 years
30L - 60LCTC
102applicants
Interview details
9 mins, 5-6 questionsCloses on Jul 16

Meet your interviewer

Sanjay Kumar

Sanjay Kumar

Recruiter

AI Voice

Get ready for your interview with Sanjay Kumar, Recruiter at MeantToBe

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Data Engineer

About MeantToBe Inc.

We are a venture-backed, stealth-stage technology company building next-generation matchmaking and relationship platforms. Our mission is to reimagine how people connect using AI, community, and content. At the core of our product is a real-time, ML recommendation engine—think Spotify for song moods or TikTok for content discovery. Backed by marquee VCs in India and the US, we’re not building another dating app — we’re creating an experience where users feel: “This app gets me.”

Role Overview

As a Data Engineer, you will play a founding role in designing, building, and scaling the data platform that powers our core recommendation systems and personalization engines. You will work closely with our ML team to create robust pipelines, data adapters, and interfaces for model training, serving, and experimentation, ensuring our data infrastructure evolves with privacy, performance, and observability at its core.

Key Responsibilities

  • Build and scale ETL processes transforming raw app events into ML-ready features.
  • Develop both real-time and batch data pipelines for tracking user actions and events.
  • Contribute to feature stores, embedding pipelines, data validation, and freshness monitoring systems.
  • Design data layers for A/B testing, product metrics, and ML training.
  • Collaborate with ML engineers in delivering data adapters for model inputs, embedding generation, and training loops.
  • Evolve and maintain the core event schema and data models to ensure privacy and optimal performance.

What We Look For

Skills:

  • Hands-on experience with scalable data systems and data engineering tools such as Kafka, Spark, Flink, Airflow, dbt, Redis, BigQuery, Feast, and Terraform.
  • 3–6 years of experience building scalable data systems in fast-moving environments.
  • Familiarity with recommendation systems, ML pipelines, or content feeds in social or consumer platforms.
  • An understanding of how data features integrate into machine learning models and direct impact on user experience.
  • A systems thinker with a passion for designing data solutions that enhance both analytics and user experience.

Qualifications

  • Required Experience: 3–6 years in data engineering with significant exposure to fast-paced, consumer-centric platforms.
  • Bonus Points: Experience with personalization systems, recommender pipelines, ranking models, or A/B testing platforms; a passion for consumer social or dating products.

Job Location

  • Gurgaon

What We Offer

  • Join a founding data team where your work is core to the product experience.
  • Shape key decisions for a platform that will directly impact how people form meaningful relationships.
  • Significant ESOPs and wealth creation opportunities alongside market competitive cash compensation.
  • Professional growth and career development opportunities within a collaborative and innovative work environment.

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