About PayU
PayU, a leading payment and Fintech company in 50+ high-growth markets throughout Asia, Central and Eastern Europe, Latin America, the Middle East and Africa, part of Prosus group, one of the largest technology investors in the world is redefining the way people buy and sell online for our 300.000+ merchants and millions of consumers.
As a leading online payment service provider, we deploy more than 400 payment methods and PCI-certified platforms to process approximately 6 million payments every single day.
Role: Data Engineer – Big Data Platform
Company: PayU
Location: Bangalore/Mumbai/Gurgaon
Job responsibilities:
- Building, maintaining, and monitoring sustainable infrastructure with a focus on developing and maintaining high-volume, low-latency data platforms using latest opensource frameworks, highly available RESTful services, and back-end Cloud based/open source systems • Execute day to day operation of the data platform to ensure top-notch performance of data platform systems for customer-facing applications • Work on features to make the data Platform more robust and resilient • Drive automation of application deployment for production environments • Identify and support areas for process and efficiency improvement within platform operations • Taking ownership of your projects, and have the work in small cross functional teams to drive projects to closure
- • Highly collaborative with a strong belief in continuous improvement.
- • Ability to stay focused and calm in a fast-paced environment.
Requirements to be successful in this role:
- • BE/B-Tech/BS/Meng/MSc in computer science or a related technical field from top-tier colleges or equivalent practical experience • 2-3+ years of experience working on platform infrastructure based on Cloud and open-source systems and automation.
- • Must be very good with at least 1 programming lang), preferred: Python
- • Django/Flask (preferred, must be experienced in building APIs)
- • Databases: SQL querying & db understanding (RDBMS: mysql, postgresql; Nosql: mongodb, elasticsearch, dynamodb)
- • Familiarity with big data tools & distributed systems (spark, redshift, kafka)
- • Cloud Computing (Any of AWS/Azure/GCP), preferred: AWS
- • Orchestration: airflow, docker
Good to Have:
- Monitoring/Logging frameworks (ELK, Grafana)
- • Scalable Compute solutions (Kafka, Snowflake)
- • Workflow management libraries and tools
- • Container orchestration systems like Kubernetes
- • Code-as-Infrastructure/Pipeline-as-Code (Terraform/Chef) • Understanding and functional experience in Big Data Engineering practices: Data • Warehousing, ingestion pipelines, ELT, data migration, QC
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
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 of our people, communities and customers. Our leaders are committed to create an inclusive work culture which enables transparency, flexibility and unbiased attention to each and 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.