PayU Career

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 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

 

 

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.

 

• 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

Responsibilities 

• Design experiments, test hypotheses, and build models utilizing the traditional datasets and graph data. 
• Apply advanced statistical and predictive modeling techniques to build, maintain, and improve on multiple real-time decision systems. 
• Identify what data is available and relevant, including internal and external data sources, leveraging new data collection processes such as geo-location or social media 
• Utilize patterns and variations in the volume, speed and other characteristics of data for predictive analysis. 
• Define the preprocessing or feature engineering to be done on a given dataset, data augmentation pipelines, training models and tuning their hyperparameters, analyzing the errors of the model and designing strategies to overcome them 
• Selecting features, building and optimizing classifiers using machine learning techniques 
• Extending the company’s data with third party sources of information when needed 
• Creating automated anomaly detection systems and constant tracking of its performance

 

Skills and Qualifications 

• Bachelors in mathematics, statistics or computer science or a related field; Masters or PHD degree preferred. 
• Experience with one or two of the following: Deep Learning methods, NLP, computer vision, sentiment analysis, topic modeling and graph theory and databases
• Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modelling platforms (Azure AutoML, SageMaker, DataBricks, DataRobot, and H2O.ai)
• Experience working with big data distributed programming languages, and ecosystems: Spark, Hadoop, MapReduce, Pig, Kafka
• Familiarity with Cloud-based environments such as AWS (S3/EC2), Azure, Google Cloud
• Experience with building and deploying predictive and prescriptive analytics models
• Ability to come up with solutions to loosely defined business problems by leveraging pattern detection over potentially large datasets. 
• Demonstrable ability to quickly understand new concepts-all the way down to the theorems- and to come out with original solutions to mathematical issues. 
• Strong communication and interpersonal skills

 

Roles and Responsibilities:
 Perform diagnostic and predictive analytics to help create a portfolio segmentation strategy considering, among others, macroeconomic environment, industry and micro-industry concentrations, product, lifetime value, usage, risk appetite, geography, seasoning, term, credit performance, etc.
 Influence, monitor, and assess impacts to Family Capital Funding’s portfolio as a result of pricing, product, acquisition strategy, underwriting policy, fraud detection, and portfolio monitoring and collections.
 Create predictive early detection credit deterioration capabilities using internal and external performance data.
 Investigate, create, implement and validate various risk and financial forecasts using complex data including cohort and time series analysis of loan balances, revenue performance, net income performance, portfolio dynamics, etc. and ensure an enterprise wide consistency in estimations.
 Interface with Acquisition, Pricing, Product, Marketing, Finance, and Operations teams to help build relationships, set goals and track operations performance, providing an actionable feedback loop as it relates to portfolio performance across key Family Capital Funding metrics.
 Ensure sound credit control by taking a pro-active approach to risk management within the risk guidelines of Family Capital Funding.
 Demonstrate governance, control and risk management behaviours in alignment with Family Capital Funding policies and practices. Document all new processes per Enterprise policy
 Assist with developing and enhancing credit structuring/packaging and risk assessment capabilities to identify and maintain good business opportunities with new and existing clients.
 Perform detailed analysis and interpret information to make recommendations to Senior Management on critical strategies including non-standard and ad-hoc requests as determined by management.
 Ensure the timely and effective communication of forecasting results & variance drivers; anticipating potential needs in an effort to establish and maintain good working relationships with key business stakeholders.

Qualifications and Experience:
 Undergraduate degree in Economics, Engineering, or Mathematics
 2 to 5 years of related experience in a Business Analytics, Finance, Strategy, or Product functional area
 Excellent business judgment and risk assessment as demonstrated by previous work or academic experience in an analytic role related to economic or business analysis
 Strong Analytical and Problem-Solving Skills as demonstrated by previous experience in developing creative solutions to business strategy, technological, and operational problems
 Excellent SQL and analytic programming skills (R, Python, SAS, Excel), willingness to work closely with large data sets and get into the details with business processes
 Knowledge and experience with statistical concepts and financial analytics (break-even analysis, NPV estimation, downside risk assessment)
 Desire to help small businesses by eliminating inefficiencies and excessive costs in the lending business

Product Manager

The role involves :

- Creating long term road map of data driven, value added product and services that should be offered by PayU and their target businesses

- Provide recommendations on go-to-market strategy, devising engagement plan with target businesses, strategic partnerships opporttunities to accelerate journey towards long term vision

- Provide thought leadership and subject matter expertise on mechanics of digital Ad ecosystem and role that PayUs can play

- Develop road map to develop best-in-class audience solutions and implement it via working with Analytics and Engineering teams

- Identify data enrichment opportunities, provide recommendations on enrichment strategy either via existing or new products, partnerships, purchases etc.

- Provide subject matter expert inputs to create client pitches and accompany sales team to increase adoption of these products and solutions

- Work with engineering team to implement these products and services

- Work with advertisers including PayU merchants and provide marketing / engagement solutions by providing PayU audience solutions or end-to-end marketing solutions

Basic Requirements :

- 3-6 years of total work experience preferably in areas like:

- Working in critical functions in digital Ad ecosystem - Be it DSPs, SSPs, networks, exchanges, DMPs, attribution, etc

- Managing Ad platform at large publishers, marketing agencies, exchanges etc

- Growth manager driving large user acquisition through digital channel at leading companies and having in-depth knowledge of leading marketing platforms

- Excellent understanding of digital marketing ecosystem

- Post-Graduate / Graduate from premium college (Example: MBA from top colleges, B.Tech./ Integrated Degree courses from IITs / NITs / DCE / VIT / MIT-Manipal / BITS etc, Economics / Statistics from DSE / ISI / IIT, etc)

- Strong problem-solving orientation, ability to think clearly

 

 

We are looking to add a Lead BigData Engineer to our team, Would love to connect and tell you more about what were building, and to learn more about what interests you. 

 

Company Name : PayU - Kindly visit our company site for more details .

 

Location : Bangalore, Mumbai & Gurgaon

 

Role and Background Information:

As a Lead/Manager - Data Engineering, 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 5-10 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.

Education-

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

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 

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