Data engineer (SDE 2) at Fam in Bengaluru: building the data platform behind a consumer fintech used by millions of young Indians.

This Bengaluru role was posted on 21 August 2026. Fam is reimagining how the next generation experiences fintech - payments plus a lifestyle brand for users above 11 - and this role builds the data backbone: distributed systems and cloud-native architectures on AWS, with OLAP domain modeling. The listing asks for 3-5 years in data engineering and hands-on AWS (S3, EKS, MSK) and infrastructure-as-code.

About Fam

Fam (previously FamPay) describes itself as India's first payments app for everyone above 11. FamApp supports online and offline payments through UPI and the FamCard, with a stated mission of raising a financially aware generation and reaching 250 million+ young users in India. Per its listings, the company was founded in 2019 by IIT Roorkee alumni. Fam is based in Bengaluru. Learn more on Fam's website.

The role in plain terms

You build and own Fam's data platform: distributed data systems on AWS (S3, EKS, MSK), OLAP domain modeling - fact and dimension tables, cumulative tables, SCD types and one-big-table patterns - and infrastructure-as-code. Notably, the listing asks for AI-native working: proficiency using AI tools (Claude, Codex, Copilot) to write, test and document code efficiently.

What the employer asks for

These requirements are quoted from the employer's listing, kept in their exact words so eligibility details are not distorted:

Experience: 3-5 years in Data Engineering, specifically with distributed systems and cloud-native architectures.
Infrastructure: Hands-on experience with AWS (S3, EKS, MSK) and Infrastructure-as-Code.
AI-Native: Proficiency in using AI tools (Claude, Codex, Copilot) to write, test, and document code efficiently.
Domain Modelling: hands on in designing Domain models for OLAP like Fact, Dimension, Cumulative, types of SCDs and OBT pattern tables.

Who this role suits

Data engineers with 3-5 years who have modeled OLAP domains properly and run data infrastructure on AWS - Kafka/MSK experience is specifically named. Strong fit for analytics engineers wanting platform depth at a consumer-scale startup. Not for BI-only backgrounds.

Practical notes

The AI-native requirement is explicit and unusual: be ready to describe how AI tools fit your daily coding workflow. Revise dimensional modeling - SCD types and fact/dimension design are interview territory here. Fam works from Bengaluru; the listing is on-site.

How to apply

Apply directly on the employer's site: Data Engineer (SDE 2) at Fam. We found this listing on the Lever public postings feed (jobs.lever.co), where it was posted on 21 Aug 2026 and was still open when we checked on 31 Oct 2026. Before applying, re-read the employer's own description in full, since eligibility details, deadlines and process steps can change at any time and the employer's page is always the final word. Tailor your resume to the specific requirements above rather than sending a generic one: mirror the skills and tools the listing names where you genuinely have them. A short, specific note on why this team and this problem interest you goes further than a long generic cover letter. Never pay a fee to apply or interview; genuine employers, including this one, do not charge candidates.

Related openings on GetFirstJob

If this role is not the right fit, these current openings are in a similar area:

We write and maintain this page from the employer's public listing and link straight to their application page. We do not act as a recruiter, and applying is always free. If the link above stops working, the role has likely been filled.

This is our short summary of the employer's listing. The full description, eligibility and deadline are on the employer's page.