Fampay

Data Engineer (3-5 Years)

Posted On

Jan. 30, 2025

Location

Bengaluru, Karnataka

Experience Level

Freshers/Experienced

Job Type

Permanent

Apply By

March 5, 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.

About this Role:

We are looking for a Data Engineer with 3-5 years of experience to build and maintain scalable data pipelines, optimize data infrastructure, and support real-time analytics in our fintech environment. This role requires strong expertise in big data processing and ClickHouse. The ideal candidate will work closely with cross-functional teams to design, develop, and deploy high-performance data solutions that drive business insights.

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. Industry's best ESOPs scheme

2. Medical Insurances suiting your needs

3. Access to Mental Health professionals

4. Top gadgets to achieve skill level - Bruce Wayne

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

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

7. Relocation Support

8. Meals in office

Here’s all the tea on FamApp ☕️

FamApp focuses on financial inclusion of the next generation by providing UPI & card payments to everyone above 11 years old. Our flagship Spending Account, FamX, seamlessly integrates UPI and card payments, enabling users to manage, save, and learn about their finances effortlessly.

Revolutionizing Payments and FinTech

FamApp has enabled 6 million+ users to make UPI and card payments across India, removing the inconvenience of carrying cash everywhere. Users get to customise their FamX card with doodles, which lets them add a personal touch to their payments.

Trusted by leading investors

We’re proud to be supported by renowned investors like Elevation Capital, Y-Combinator, Peak XV (formerly Sequoia Capital India), Venture Highway, Global Founder’s Capital, and esteemed angels Kunal Shah and Amrish Rao.

Join Our Dynamic Team

At Fam, our people-first approach is reflected in our generous leave policies, flexible work schedules, comprehensive health benefits, and free mental health sessions. We don’t mean to brag, but we promise you’ll be surrounded by some of the most fun, talented and passionate people in the startup space.

Want to see what makes life at Fam so awesome? Check out our shenanigans at @lifeatfam 😛

On the Job

3-5 years of experience in data engineering or related roles.

Strong hands-on experience with ClickHouse for real-time data processing and analytics.

Proficiency in Python, SQL, and familiarity with Scala or Java.

Experience with Kafka, Spark, Hadoop, or Flink for big data processing.

Expertise in ETL/ELT pipeline development and optimization.

Hands-on experience with cloud-based data architectures (primarily AWS).

Strong understanding of database performance tuning, indexing, and partitioning.

Experience with workflow orchestration tools like Airflow etc.

Solid understanding of SQL databases like Postgres and proficiency in writing SQL queries.

Must-haves (Min. qualifications)

Build & Optimize Data Pipelines: Design, develop, and maintain scalable ETL workflows for processing structured and unstructured data.

ClickHouse Expertise: Implement, optimize, and manage ClickHouse for efficient real-time analytics and reporting.

Big Data Processing: Experience working with large-scale data architectures using Spark, Kafka, Hadoop, Flink or similar tools.

Data Modeling & Warehousing: Design efficient data schemas, partitioning, and indexing strategies for optimal query performance.

Real-Time Data Streaming: Implement streaming solutions using Kafka, Spark Streaming, or Flink to enable low-latency data processing.

Cloud Data Infrastructure: Deploy and manage data solutions on AWS, GCP, or Azure with tools like S3, Redshift, BigQuery, or Snowflake.

Automation & Monitoring: Develop robust monitoring systems and automate workflows using Airflow, Prefect, or Kubernetes.

Data Security & Governance: Ensure compliance with GDPR, CCPA, and best practices for data integrity and security.

Collaboration: Work closely with Data Scientists, Analysts, and Software Engineers to integrate data solutions into applications.

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