Role:                     Data Engineering Lead

Company:           PayU Payments Pvt Ltd

Location:            Gurgaon/Bengaluru


About Company:

PayU, the fintech-arm of Naspers, is a leading financial services provider in global growth markets. We use our expertise and heritage in cross border and local payments to extend the services we offer to merchants and consumers. Our innovative technology, developed in-house as well as through investments and strategic partnerships, empowers billions of people and millions of merchants to buy and sell online, extending the reach of financial services.

Our local operations span 18 growth markets across Asia, Central and Eastern Europe, Latin America, the Middle East and Africa. Here we deliver fast, simple and efficient financial services technology that unlocks access to more than 2.3 billion consumers in our regions.

Regulated under the Reserve Bank of India, PayU India has advanced solutions to meet every digital payment need. The company has an in-depth understanding of the vast and intricate details of the Indian market and its payment landscape. The company brings convenience and trust through continuous innovation leveraging technology.

PayU India forays into two business verticals - payment offerings under PayU Payments Services Ltd. and alternate lending under PayU Finance. Headquartered in Sohna Road, Gurgaon, the company has a presence in Mumbai, Pune and Bangalore and has a total strength of 700+ employees. Anirban Mukherjee is the CEO for PayU India working with the global CEO Laurent Le Moal.

Under the aegis of PayU Payments Services Ltd., PayU provides payment gateway solutions to online businesses through its cutting-edge and award-winning technology. In India, PayU covers nearly 60% of the airline business and 90% of the entire e-commerce business and processes over INR 120,000 crores worth of digital payments annually (at current run rates). The company offers more than 70 local payment methods and serves more than 350,000 merchants including leading e-commerce businesses in India. The company also empowers SMBs, enabling them to accept mobile and online payments with minimum development effort.

With credit being the key business priority, PayU has also developed LazyPay, an alternate lending platform to offer credit solutions such as Small Ticket Credit (Buy Now, Pay Later), App based personal loans and Point of Sale Credit (Merchant EMI). Since its launch in 2017, LazyPay has gained significant traction and has disbursed 20mn+ loans to a customer base of a million user.

PayU is bullish on investment opportunities in India. The company has been an aggressive investor, committed to the evolution of fintech in the country. PayU has spent about $250 million over the past three years in Asia's third-largest economy and is further scouting for more lucrative investment and acquisition opportunities to fuel growth.

PayU’s acquisitions in India include that of Wibmo (April 2019 worth $70 mn) and Citrus Payment Solutions (September 2016 for $130 mn). PayU has also invested in PaySense (July 2018) and ZestMoney (December 2016) in India.



Role and Background Information:

  • As a Lead Data Engineer, you will execute the strategy and roadmap for data engineering at PayU, You will define, evolve and mature PayU's existing data platform and processing framework that handles terabytes of data from our various properties.
  • You will work with a team of data engineers, analytics and data scientist teams to identify the needs and contribute towards building the next generation data ecosystem.
  • -You will engage with analysts and leaders to research and develop new data engineering capabilities.
  • Responsible to ingest data from files, streams and databases. Process the data with Python and Pyspark and its storage into time-series database.
  • Develop programs in Python as part of data extraction, data cleaning, transformation and processing.
  • Develop and maintain scalable data pipelines.
  • Rest API’s development.

What you’d need to bring to the table:


  • Overall 3-6 years of experience as Data Engineer.
  • Advanced working SQL knowledge to create complex queries.
  • Experience in working with Time-series Database, relational databases as well as working familiarity with a variety of databases (structured & Unstructured).
  • Hands On experience on visualization tools like Grafana & Power BI.
  • Experience in designing and implementing scalable architecture.
  • Good experience in doing object-oriented programming in python.
  • Very strong in Object-Oriented Analysis and Design (OOAD).
  • Strong knowledge on REST APIs.
  • Experience working on Azure Cloud services IaaS PaaS.
  • Hands on Experience in working on Microsoft Azure Services like ADLS/Blob Storage solutions, Event Hubs, Service Bus, scale sets, Load Balancers, Azure Functions, Databricks. - Hands on Experience in working on Kafka.
  • Knowledge on continuous integration/continuous deployment.
  • Experience of data migration and deployment from On-Prem to Cloud environment and vice-versa.
  • Individual Contributor.


Nice-to-Have Skills:

  • Certification on any cloud platform.
  • Hands on experience on Docker Containers and microservices architecture using Kubernetes.
  • Hand on experience in Golang programming.


So what do we offer?

  • A Competitive salary, including benefits
  • Modern offices with individual working spaces
  • Exceptional projects
  • Awesome teams that love finding ways of making things better, faster, stronger
  • Interesting growth prospects 


Bachelor of Engineering (IIT/NIT/Bits is Preferred)


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