Data Engineering - Data Engineer

India's leading digital payments and financial services company focused on driving consumers and merchants to its platform through payment solutions and financial services.
India Gate, New Delhi, Delhi, India
Data
Mid-Level Software Engineer
In-Person
3+ years of experience
Finance

Description For Data Engineering - Data Engineer

Paytm, India's leading digital payments and financial services company, is seeking a Data Engineer to join their innovative team. This role offers an exciting opportunity to work with petabyte-scale data systems and cutting-edge technologies. The ideal candidate will have 3-6 years of experience in Big Data technologies and strong expertise in Hadoop ecosystem.

The position involves designing and implementing real-time data pipelines, transforming raw data into actionable insights, and working with various emerging technologies. You'll be part of a team handling massive amounts of data daily, contributing to India's largest digital lending platform.

As a Data Engineer at Paytm, you'll work in a fast-paced environment, collaborating with peers on complex technical projects. The role requires strong programming skills in Python/Java/Scala, experience with big data technologies like Hadoop, Spark, and knowledge of streaming applications.

The company offers a unique opportunity to impact India's digital payment landscape, working with a platform that serves 500+ million registered users and 21+ million merchants. You'll be contributing to democratizing credit access for consumers and merchants while working with one of India's most successful fintech companies.

This role is perfect for someone passionate about large-scale data engineering, interested in financial technology, and eager to make a difference in how technology serves people. You'll be challenged to create meaningful solutions while working with a team that prioritizes customer focus and collective success.

Last updated 12 days ago

Responsibilities For Data Engineering - Data Engineer

  • Work on complex technical projects in a fast-paced environment
  • Grow analytics capabilities handling petabytes of data daily
  • Design and develop real-time events pipeline for data ingestion
  • Transform raw data sources into reliable components of data lake
  • Design & implement new components in Hadoop Eco-System
  • Work closely with peers in an innovative environment

Requirements For Data Engineering - Data Engineer

Python
Java
Scala
Cassandra
Kafka
Redis
  • 3-6 years of experience in Big Data technologies
  • Strong hands-on experience with Hadoop, MapReduce, Hive, Spark, PySpark
  • Programming/debugging skills in Python/Java/Scala
  • Experience with scripting languages such as Python, Bash
  • Experience with noSQL databases like Hbase, Cassandra
  • Experience in Database, SQL, messaging queues like Kafka
  • Experience in developing streaming applications
  • Experience with AWS and cloud technologies such as S3
  • Experience with caching architectures like Redis

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