Jobs at PayU
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The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
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Role: Data Engineer
Company: PayU
Location: Bangalore/ Mumbai
Experience : 2-5 yrs
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, statistics, data visualisation, 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
- Preferred) 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
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The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Hello,
My name is Amim and I'm a part of the Talent Acquisition team in PayU India!
Were looking for a seasoned Backend engineers who would work on cutting edge technologies to solve complex problems in FinTech world. We are currently looking for bright and talented backend engineers, who can bring new ideas to the table and contribute to our strategy in a big way.
If you like to solve complex problems and challenges, that too in a fast-moving and dynamic environment, this is great opportunity for you.
Who were looking for
Position : Senior Software Engineer / Lead Software Engineer
Experience : 4 yrs - 9 yrs
Job Location: Bangalore / Gurgaon / Pune(Currently WFH)
Key Skills : Object Oriented Programming ( Java / Go Lang), Problem Solving, Data Structures Algorithms, System Design Microservices / Spring Boot, Distributed Systems, AWS, Cloud, Scalability, Web Security, Kafka, Elasticsearch, Mo SQL / MongoDB / MySQL etc.
Desired Profile
B.E / B. Tech / M. Tech in computer science or equivalent with excellent academic record.
Experience in any language like Java / GoLang / Core Java / Scala / RoR and object oriented design.
You will be Translating high level business problems into scalable design and code.
Very strong in Data Structures and Algorithms with excellent programming skills
Have experience in building and maintaining large scale web applications in service oriented architecture.
Passion for adopting new technologies at rapid pace and working in a highly agile environment
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 http://www.payu.com">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.
If you are interested, please share your resume on md.amim at payu.in
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The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Role: Senior Software Engineer – Backend Location: Bangalore / Gurgaon / Pune
About the Role
The successful backend engineer will work closely and collaboratively with cross functional teams during all phases of the software development lifecycle.
The incumbent should be competent to provide quick solutions to problems and taking a product or a product’s component through the entire life cycle, optimize the space / time complexity and improve on usability and reliability.
What you’ll be doing:
- Bachelor's degree in Computer Science or related field from top notch colleges
- 4 + years of software development engineering.
- Understanding of fundamental design principles (including MVC).
- Good hands on in AWS scalable environment.
- Experience with different RDBMS and No SQL databases like MySQL, mongo, etc.
- Experience in designing scalable micro-services required.
- Strong knowledge of CS fundamentals including data structures, algorithm design and complexity analysis.
- Proficiency in one language that emphasizes class abstractions (for e.g. Java) and have coded in it for at least 4 years.
- Excellent communication, analytical and problem solving skills.
- Strong organizational skills and the ability to prioritize and work with clients with great efficiency.
- Excellent written and oral communication and presentation skills and the ability to express thoughts logically and succinctly.
- Open minded, Team builder, Good communicator and ability to lead and inspire teams.
- Demonstrated ability to achieve stretch goals in a highly innovative and fast paced environment.
- Experience in dealing with ambiguous/undefined problems; ability to think abstractly
What are we looking for?
- 4 to 10 years of hands on design / development experience.
- Tech / M.Tech Computer Science or equivalent field from a premier institutes.
- Proficient in Java OR C/C++, data structures, algorithms and OO design / design patterns.
- Strong understanding of Computer Science fundamentals.
- Technical depth in OS, computer architecture and OS internals.
- Ability to write scalable and maintainable code.
- Self-starter and goal-oriented with strong analytical and problem-solving skills.
- Must be able to work cooperatively within a strong diverse technical community to expedite development tasks.
- Experience in Machine Learning is a plus
PS: Code review and team leading expereince is a pluys for Tech Lead role
What we offer
- Competitive salary and excellent benefits, in a diverse working environment with inspiring and hardworking colleagues
- A positive, get-things-done workplace.
- 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.
- A flexible working environment where you can drive your outcomes.
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.
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The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
. 4 years of software development engineering.
. Understanding of fundamental design principles (including MVC).
. Good hands on in AWS scalable environment.
. Experience with different RDBMS and No SQL databases like MySQL, mongo, etc.
. Experience in designing scalable micro-services required.
. Strong knowledge of CS fundamentals including data structures, algorithm design and complexity analysis.
. Proficiency in one language that emphasizes class abstractions (for e.g. Java) and have coded in it for at least 2 years. Python will be a plus.
. Excellent communication, analytical and problem solving skills.
. Strong organizational skills and the ability to prioritize and work with clients with great efficiency.
. Excellent written and oral communication and presentation skills and the ability to express thoughts logically
and succinctly.
. Open minded, Team builder, Good communicator and ability to lead and inspire teams.
. Demonstrated ability to achieve stretch goals in a highly innovative and fast paced environment.
. Experience in dealing with ambiguous/undefined problems; ability to think abstractly.
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The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
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- Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model
- Thorough understanding of React.js and its core principles
- Prior experience with popular React.js workflows (such as Flux or Redux)
- Familiarity with more current specifications of EcmaScript
- Prior experience with data structure libraries (e.g., Immutable.js)
- Knowledge of isomorphic React is a plus
- Familiarity with RESTful APIs
- Familiarity with HTML / CSS
- GIT experience is a plus
- Knowledge of modern authorization mechanisms, such as JSON Web Token
- Familiarity with modern front-end build pipelines and tools
- Experience with common front-end development tools such as Babel, Webpack, NPM, etc.
- Ability to understand business requirements and translate them into technical requirements
- A knack for benchmarking and optimization
- Familiarity with code versioning tools
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The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Must have:-
Locust
jMeter
Core Java
Selenium Webdriver with java
Rest Assured Library
API Testing - using postman & Rest Assured Library
SQL
Hands on experience REST service.
Experience Level:- 2.5 to 4.5 years
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The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
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What you will be doing:
As a part of the Global Credit Risk and Data Analytics team, this person will be responsible for carrying out analytical initiatives which will be as follows: -
- Dive into the data and identify patterns
- Development of end-to-end Credit models and credit policy for our existing credit products
- Leverage alternate data to develop best-in-class underwriting models
- Working on Big Data to develop risk analytical solutions
- Development of Fraud models and fraud rule engine
- Collaborate with various stakeholders (e.g. tech, product) to understand and design best solutions which can be implemented
- Working on cutting-edge techniques e.g. machine learning and deep learning models
Example of projects done in past:
- Lazypay Credit Risk model using CatBoost modelling technique ; end-to-end pipeline for feature engineering and model deployment in production using Python
- Fraud model development, deployment and rules for EMEA region
Basic Requirements:
- 1-3 years of work experience as a Data scientist (in Credit domain)
- 2016 or 2017 batch from a premium college (e.g B.Tech. from IITs, NITs, Economics from DSE/ISI etc)
- Strong problem solving and understand and execute complex analysis
- Experience in at least one of the languages - R/Python/SAS and SQL
- Experience in in Credit industry (Fintech/bank)
- Familiarity with the best practices of Data Science
Add-on Skills :
- Experience in working with big data
- Solid coding practices
- Passion for building new tools/algorithms
- Experience in developing Machine Learning models
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