Fampay

Data Engineer Intern

Posted On

Dec. 9, 2025

Location

Bengaluru, Karnataka

Experience Level

Freshers/Experienced

Job Type

Permanent

Apply By

Dec. 25, 2025

Job Description

About Fam (previously FamPay)

Fam is India's first payments app for everyone above 11. FamApp helps make online and offline payments through UPI and FamCard. We are on a mission to raise a new, financially aware generation, and drive 250 million+ youngest users in India to kickstart their financial journey super early in their life.

Founded in 2019 by IIT Roorkee alumni, Fam is backed by some of the most respected investors around the world like Elevation Capital, Y-Combinator, Peak XV (Sequoia Capital) India, Venture Highway, Global Founder’s Capital and the likes of Kunal Shah, Amrish Rao as angel investors.

Why should you join us?

Every once in a while, a product comes to life that makes people think, why was this not done earlier? The users love it, the investors dream about the great returns and the team feels the joy and pride every day. We have strong indicators for users & investors, and we are building a team that will have stories to tell all their life.

We believe that a great product is built by a high-quality team that finds purpose and joy in their work, and we also go beyond it to put heavy emphasis on having fun at work as well.

Perks

1. Competitive Stipend

2. Certificate and Letter of Recommendation

3. Access to Mental Health professionals

4. Friendly leaves policy that’ll make your friends jealous

5. Flexible work schedule so you never miss brunch, lunch, or dinner plans

6. Chance to work full-time at FamPay

On the Job

B.Tech in Computer Science or equivalent practical experience

Previous internship experience in a product-based company or startup

Strong analytical, troubleshooting and problem-solving skills

Must Haves

Design and implement efficient data pipelines, ETL processes, ensuring data quality and integrity.

Build the different components of Data Platform from scratch (Data Lakehouse, Serving & Query infrastructure, Event Streaming Platform, etc).

Monitor and improve the performance and reliability of data pipelines, platforms, and data infrastructure.

Collaborate with cross-functional teams to gather business requirements and translate them into technical designs for data pipelines and data models.

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