Role Senior Data Engineer Company PayU Location Bangalore Mumbai Gurgoan About Company PayU is the payments and fintech business of Prosus a global consumer internet group and one of the largest technology investors in the world Operating and investing globally in markets with long-term growth potential Prosus builds leading consumer internet companies that empower people and enrich communities The leading online payment service provider in 36 countries PayU is dedicated to creating a fast simple and efficient payment process for merchants and buyers Focused on empowering people through financial services and creating a world without financial borders where everyone can prosper PayU is one of the biggest investors in the fintech space globally with investments totalling 700 million- to date PayU also specializes in credit products and services for emerging markets across the globe We are dedicated to removing risks to merchants allowing consumers to use credit in ways that suit them and enabling a greater number of global citizens to access credit services Our local operations in Asia Central and Eastern Europe Latin America the Middle East Africa and South East Asia enable us to combine the expertise of high growth companies with our own unique local knowledge and technology to ensure that our customers have access to the best financial services India is the biggest market for PayU globally and the company has already invested 400 million in this region in last 4 years PayU in its next phase of growth is developing a full regional fintech ecosystem providing multiple digital financial services in one integrated experience We are going to do this through 3 mechanisms build co-build partner select strategic investments PayU supports over 350 000 merchants and millions of consumers making payments online with over 250 payment methods and 1 800 payment specialists The markets in which PayU operates represent a potential consumer base of nearly 2 3 billion people and a huge growth potential for merchants Job responsibilities Design infrastructure for data especially for but not limited to consumption in machine learning applications Define database architecture needed to combine and link data and ensure integrity across different sources Ensure performance of data systems for machine learning to customer-facing web and mobile applications using cutting-edge open source frameworks to highly available RESTful services to back-end Java based systems Work with large fast complex data sets to solve difficult non-routine analysis problems applying advanced data handling techniques if needed Build data pipelines includes implementing testing and maintaining infrastructural components related to the data engineering stack Work closely with Data Engineers ML Engineers and SREs to gather data engineering requirements to prototype develop validate and deploy data science and machine learning solutions Requirements to be successful in this role Strong knowledge and experience in Python Pandas Data wrangling ETL processes Spark statistics data visualisation Data Modelling and Informatica Strong experience with scalable compute solutions such as in Kafka Snowflake Robust experience with workflow management libraries and tools such as Airflow AWS Step Functions etc Strong experience with data engineering practices i e data ingestion pipelines and ETL A good understanding of machine learning methods algorithms pipelines testing practices and frameworks B Tech BE MEng MSc PhD degree in computer science engineering mathematics physics or equivalent preference DS AI Experience with designing and implementing tools that support sharing of data code practices across organizations at scale What we offer A positive get-things-done workplace A dynamic constantly evolving space change is par for the course - important you are comfortable with this An inclusive environment that ensures we listen to a diverse range of voices when making decisions Ability to learn cutting edge concepts and innovation in an agile start-up environment with a global scale Access to 5000 training courses accessible anytime anywhere to support your growth and development Corporate with top learning partners like Harvard Coursera Udacity About us At PayU we are a global fintech investor and our vision is to build a world without financial borders where everyone can prosper We give people in high growth markets the financial services and products they need to thrive Our expertise in 18 high-growth markets enables us to extend the reach of financial services This drives everything we do from investing in technology entrepreneurs to offering credit to underserved individuals to helping merchants buy sell and operate online Being part of Prosus one of the largest technology investors in the world gives us the presence and expertise to make a real impact Find out more at www payu com Our Commitment to Building A Diverse and Inclusive Workforce As a global and multi-cultural organization with varied ethnicities thriving across locations we realize that our responsibility towards fulfilling the D I commitment is huge Therefore we continuously strive to create a diverse inclusive and safe environment for all our people communities and customers Our leaders are committed to create an inclusive work culture which enables transparency flexibility and unbiased attention to every PayUneer so they can succeed irrespective of gender color or personal faith An environment where every person feels they belong that they are listened to and where they are empowered to speak up At PayU we have zero tolerance towards any form of prejudice whether a specific race ethnicity or of persons with disabilities or the LGBTQ communities

📌 Senior Data Engineer (India)
🏢 PayU
📍 India