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Home / Jobs / Paytm

Data Engineering - Senior / Lead Engineer

Paytm

Noida, Uttar Pradesh, IndiaPosted 5 months ago
Paytm logo

Skill Required

TechnologyData EngineerEngineeringR ProgrammingCassandradebuggingHadoopSparkPythondesignScalaKafkaFlinkRedisCloudJavaHiveShell ScriptingSQLAWS

Key highlights

  • 4 to 8 years of experience required in Big Data technologies
  • Enviable 500 mn+ registered users and 21 mn+ merchants in ecosystem
  • India's largest digital lending story
  • Strong hands-on experience with Hadoop, Spark, PySpark, MapReduce, Hive required
  • Opportunity to be part of India's leading digital payments and financial services company
  • Work with petabytes of data daily

Role overview

Paytm, India's leading digital payments and financial services company, is seeking a Data Engineering Technical Lead to work on complex technical projects in an innovative and fast-paced environment. The role requires a strong product design sense and specialization in Hadoop and Spark technologies, focusing on growing analytics capabilities and handling petabytes of data daily.

Responsibilities

  • Grow our analytics capabilities with faster, more reliable tools, handling petabytes of data every day.
  • Brainstorm and create new platforms that can help in our quest to make available to cluster users in all shapes and forms, with low latency and horizontal scalability.
  • Make changes to our diagnosing any problems across the entire technical stack.
  • Design and develop a real-time events pipeline for Data ingestion for real-time dashboarding.
  • Develop complex and efficient functions to transform raw data sources into powerful, reliable components of our data lake.
  • Design & implement new components and various emerging technologies in Hadoop Eco-System, and successful execution of various projects.
  • Be a brand ambassador for Paytm – Stay Hungry, Stay Humble, Stay Relevant!
  • Work closely with peers in an innovative and fast-paced environment on complex technical projects.

Requirements

  • 4 to 8 years of experience in Big Data technologies.
  • Strong hands-on experience with Hadoop, MapReduce, Hive, Spark, PySpark etc.
  • Excellent programming/debugging skills in Python/Java/Scala.
  • Experience with any scripting language such as Python, Bash etc.
  • Hands-on programming experience with multithreaded applications.
  • Strong product design sense.
  • Specialization in Hadoop and Spark technologies.

Nice to have

  • Good to have experience of working with noSQL databases like Hbase, Cassandra.
  • Good to have experience in Database, SQL, messaging queues like Kafka.
  • Good to have experience in developing streaming applications e.g. Spark Streaming, Flink, Storm, etc.
  • Good to have experience with AWS and cloud technologies such as S3.
  • Experience with caching architectures like Redis etc.

Benefits

  • Opportunity to make a difference and have a great time doing that.
  • Challenged and encouraged to do work that is meaningful for you and for those served.
  • Opportunity to work with a company that thinks seriously about what technology can do for people.
  • Opportunity to be a part of India's largest digital lending story.
  • Access to a unique position to democratize credit for deserving consumers & merchants.

Additional details

  • Paytm is India's leading digital payments and financial services company, focused on driving consumers and merchants to its platform by offering a variety of payment use cases.
  • To merchants, Paytm offers acquiring devices like Soundbox, EDC, QR and Payment Gateway where payment aggregation is done through PPI and also other banks' financial instruments.
  • To further enhance merchants' business, Paytm offers merchants commerce services through advertising and Paytm Mini app store.
  • Operating on this platform leverage, the company then offers credit services such as merchant loans, personal loans and BNPL, sourced by its financial partners.
  • The company is successful, and successes are rooted in the collective energy and unwavering focus on the customer.

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LocationNoida, Uttar Pradesh, India
TypeFull-time Employment
Posted4/10/2026
Apply byOpen

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