Data Engineer (3-5 Years)

India's first payments app for everyone above 11, enabling UPI and card payments through FamApp and FamCard.
Data
Mid-Level Software Engineer
In-Person
101 - 500 Employees
3+ years of experience
Finance · Enterprise SaaS

Description For Data Engineer (3-5 Years)

Fam (previously FamPay) is India's pioneering payments app for users above 11, revolutionizing financial inclusion through UPI and card payments. Founded in 2019 by IIT Roorkee alumni, the company is backed by prestigious investors like Elevation Capital, Y-Combinator, and Peak XV. They're seeking a Data Engineer with 3-5 years of experience to build and maintain scalable data pipelines and optimize data infrastructure. The role focuses on real-time analytics in their fintech environment, requiring expertise in ClickHouse and big data processing. The position offers an opportunity to work with cutting-edge technology in a fast-paced startup environment, handling large-scale data architectures and implementing real-time streaming solutions. The company emphasizes both professional growth and work-life balance, offering competitive benefits including equity, medical insurance, and flexible work arrangements. Working at Fam means joining a dynamic team that's transforming financial services for the next generation, with over 6 million users already on the platform.

Last updated 9 hours ago

Responsibilities For Data Engineer (3-5 Years)

  • Build & optimize ETL workflows for processing structured and unstructured data
  • Implement and manage ClickHouse for real-time analytics and reporting
  • Design efficient data schemas, partitioning, and indexing strategies
  • Implement streaming solutions using Kafka, Spark Streaming, or Flink
  • Deploy and manage cloud data solutions on AWS
  • Develop monitoring systems and automate workflows
  • Ensure data security compliance and governance
  • Collaborate with Data Scientists, Analysts, and Software Engineers

Requirements For Data Engineer (3-5 Years)

Python
Kafka
PostgreSQL
  • 3-5 years of experience in data engineering or related roles
  • Strong hands-on experience with ClickHouse
  • Proficiency in Python, SQL, and familiarity with Scala or Java
  • Experience with Kafka, Spark, Hadoop, or Flink
  • Expertise in ETL/ELT pipeline development
  • Hands-on experience with cloud-based data architectures (AWS)
  • Strong understanding of database performance tuning
  • Experience with workflow orchestration tools like Airflow
  • Solid understanding of SQL databases like Postgres

Benefits For Data Engineer (3-5 Years)

Equity
Medical Insurance
Mental Health Assistance
Relocation Benefits
  • Industry's best ESOPs scheme
  • Medical Insurance
  • Mental Health professional access
  • Top gadgets provided
  • Flexible work schedule
  • Friendly leaves policy
  • Relocation Support
  • Meals in office

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