Big Data Engineer

Published: 1 month ago

PayU

PayU: Improving financial access for millions worldwide through in-house technology

Berlin

1001-5000

Financial Services E-Commerce Payments

See all jobs at PayU

Job Location

Bengaluru

Job Type

Full Time

Visa Sponsorship

Not Available

Relocation

Allowed

The Role

Role: Big Data Engineer

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:

Gather and process raw data at scale.
Design and develop data applications using selected tools and frameworks as required and requested.
Read, extract, transform, stage and load data to selected tools and frameworks as required and requested.
Perform tasks such as writing scripts, web scraping, calling APIs, write SQL queries, etc.
Work closely with the engineering team to integrate your work into our production systems.
Process unstructured data into a form suitable for analysis.
Analyze processed data.
Support business decisions with ad hoc analysis as needed.
Monitoring data performance and modifying infrastructure as needed.
Define data retention policies.

What you’d need to bring to the table:

2 – 7 years of recent experience in data engineering.
Bachelor’s Degree or more in Computer Science or a related field.
A solid track record of data management showing your flawless execution and attention to detail.
Strong knowledge of and experience with statistics.
Programming experience, ideally in Python, Spark, Kafka or Java, and a willingness to learn new programming languages to meet goals and objectives.
Experience in C, Perl, Javascript or other programming languages is a plus.
Knowledge of data cleaning, wrangling, visualization and reporting, with an understanding of the best, most efficient use of associated tools and applications to complete these tasks.
Experience in MapReduce is a plus.
Deep knowledge of data mining, machine learning, natural language processing, or information retrieval.
Experience processing large amounts of structured and unstructured data, including integrating data from multiple sources.
Experience with machine learning toolkits including, H2O, SparkML or Mahout
A willingness to explore new alternatives or options to solve data mining issues, and utilize a combination of industry best practices, data innovations and your experience to get the job done.
Experience in production support and troubleshooting.
You find satisfaction in a job well done and thrive on solving head-scratching problems