Data Engineering Lead/manager Job in Payu

Role: Manager/Lead Big Data Engineer
Company: PayU Finance India Private Limited
Location: Bangalore/Gurgaon/Mumbai
Employment Type: FTE

About Company:

About PayU

A Prosus group company

PayU is the payments and fintech business of Prosus, a global consumer internet group andone of the biggest investors in the fintech space globally, with investments totalling $700 million- to date.In India,PayUserves more than 350,000 merchants with 70+ local payment methods and is the preferred payments partner for nearly 60% of the e-commerce merchants, including all leading e-commerce companies anda majority ofairline businesses.

PayU specializes in credit products and services for emerging markets across the globe.Headquartered in Mumbai, PayU Credit India has disbursed about 20 billion loans to date by volume and has disbursed more than $280 million in consumer credit.PayU Credit provides consumers with easy access to affordable short-term loans up to INR 5 lacs that can be availed in the form of personal loans, point of sale EMI and express loans. Lead by Prashanth Ranganathan, the company has been focusing on providing innovative solutions that make access to credit convenient as well as quick.PayU India entered the alternate lending business in 2017 with LazyPay, its buy-now-pay-later offering to provide consumers with convenient checkout options. It emerged as one of the most popular payment methods across 300+ renowned merchants in its network like Swiggy, Zomato, Samsung, Dunzo, GoAir, amongst others.Recently the company launched LazyPay Credit Shield an end to end digital lending features that help its users to be mindful of their financial health and credit score and automates the entire process of disbursal.Riding on the success of the offering in 2018, PayU received RBIs approval to operate as an NBFC in 2018.PayU acquired a stake in PaySense in January 2020 to accelerate its vision for credit in India and leverage AI & ML to build a full-stack digital lending platform in India.PayU in its next phase of growth is developing a full regional fintech ecosystem providing multiple digital financial services in one integrated experience.

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 PayUs 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 APIs development.

What youd 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.

Nice-to-Have Skills:

• Certification on any cloud platform.
• Hands on experience on Docker Containers and micro services architecture using Kubernetes.
• Hand on experience in Golang programming.

So what do we offer?

• A Competitive salary, including benefits
• Modern offices with individual working spaces
• Exceptional projects
• Awesome teams that love finding ways of making things better, faster, stronger
• Interesting growth prospects

Education-

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