About PayU:
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.
Data Engineer – PayU 2025
Company Name: | PayU |
Role: | Data Engineer |
Salary: | Up to ₹4-5 LPA* |
Location: | Gurgaon /Bangalore/ Mumbai |
Experience: | Freshers / Experience |
Apply Date: | Apply Soon |
NOTE : The salary/stipend (if stated) here is an estimation and has been collected from various sources. We do not guarantee the accuracy of the stated amount.
- 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.
Data engineers work in various settings to build systems that collect, manage, and convert raw data into usable information for data scientists and business analysts to interpret. Their ultimate goal is to make data accessible so that organizations can use it to evaluate and optimize their performance. |
- B. Tech / BE /MEng/MSc/PhD degree in computer science, engineering, mathematics, physics, or equivalent (preference: DS/ AI)
- Strong knowledge and experience in Python, Pandas, Data wrangling, ETL processes, Spark statistics, data visualization, Data Modelling and Informatica.
- Strong experience with scalable compute solutions such as in Kafka, Snowflake.
- Strong 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.
- Experience with designing and implementing tools that support sharing of data, code, practices across organizations at scale
PayU Off Campus Selection Process:
PayU selection process is a structured series of stages designed to identify and hire the most suitable candidates for various roles within the company. Here is an overview of the typical selection process:
- Online Application: Start by searching for job openings on the PayU website or relevant job portals.
Submit your resume and application through the online application system. - Resume/CV Screening: The HR team or hiring managers will review submitted applications to shortlist candidates based on qualifications and experience.
- Online Assessments (if applicable): Depending on the role, there may be online assessments or tests to evaluate specific skills.
- Phone/Video Interview: Shortlisted candidates may have a phone or video interview. This interview could cover your background, skills, and interest in the position.
- Face.to-Face Interviews (if applicable): For certain roles or levels, there may be onsite or face-to-face
interviews. - Behavioral and Competency-Based Interviews: Expect questions related to your past experiences, behavior, and how you approach various situations. These interviews may also assess your teamwork and communication skills.
- Technical Interviews (if applicable): For technical roles, there may be one or more technical interviews. These interviews assess your problem-solving skills, technical expertise, and knowledge.
- Assessment Centers (if applicable): Some companies, including PayU, use assessment centers for more in-depth evaluations. These can include various exercises, group activities, and interviews.
- HR Interview: An HR interview may be conducted to discuss your overall fit with the company, your career goals, and to provide information about PayU’s culture.
- Reference Check: PayU may contact your previous employers or references to verily your work history and qualifications.
- Background Check: A thorough background check may be conducted as part of the selection process.
- Job Offer: Successful candidates will receive a formal job offer. This offer will include details about the position, compensation, benefits, and other relevant information.
Please note that the specific details of the PayU selection process may vary based on the role, location, and the hiring team’s preferences. It’s essential for candidates to carefully review the job description and follow any instructions provided during the application process. Preparation for technical interviews and assessments is crucial to excel in the selection process. selection process may vary based on the role, location, and the hiring team’s preferences. It’s essential for candidates to carefully review the job description and follow any instructions provided during the application process. Preparation for technical interviews and assessments is crucial to excel in the selection process.
PayU offers a range of benefits that make it an attractive choice for professionals:
- Competitive Compensation: A highly competitive salary package with performance bonuses.
- Work-Life Balance: Flexible schedules and generous time-off policies.
- Professional Growth: Access to training, conferences, and career advancement opportunities.
- Health and Wellness: Comprehensive health insurance, dental coverage, and wellness programs.
- Family Support: Maternity and paternity leave, as well as adoption assistance.
- Engaging Work Culture: Collaborative environment with opportunities to work on innovative projects.
How to Apply ?
To apply for this Off Campus Drive, interested candidates must follow the procedure outlined below:
- Click on the “Apply here” button provided below. You will be redirected to the official career page.
- Click on “Apply”.
- If you have not registered before, create an account.
- After registration, log in and fill in the application form with all the necessary details.
- Submit all relevant documents, if requested (e.g. resume, mark sheet, ID proof).
- Verify that all the details entered are correct.
- Submit the application form after verification.
Apply Link: Click Here
Disclaimer: This content is sourced from the official career website of the company. We do not claim ownership of any logos, trademarks, or intellectual property. If requested by the owner, we will promptly remove this content. Our intention is to provide verified job listings to assist job seekers. There is no fee charged for providing this job information.
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