Senior Data Engineer

Razorpay is one of Indias leading full-stack financial technology companies powering the way businesses move manage and grow money. Founded in 2014 by Harshil Mathur and Shashank Kumar with a simple vision - to simplify payments for Indian businesses - weve since grown into a fintech powerhouse driving Indias digital payment revolution.

Razorpay powers millions of businesses with a smarter scalable stack that goes beyond transactions to help them truly build and grow.

From building AI-native agentic payments to AI-assisted fraud detection and real-time risk intelligence to automated reconciliation smart payouts and predictive financial insights we are embedding intelligence across our stack to make money movement faster safer and more close collaboration with ecosystem partners - including banks networks regulators - we are pioneering industry-first solutions that are shaping the next era of fintech

Across India Singapore and Malaysia our products span everything from seamless checkouts to payroll automation - powering a fintech ecosystem thats redefining how money moves across Asia.

Today that ecosystem supports everyone from early-stage startups to some of Indias largest enterprises enabling them to accept process and disburse payments at scale while expanding into new ways of managing money more efficiently.

Our scale speaks volumes: Razorpay processes $180 billion in annualized transactions powering leading businesses like Airbnb Facebook WhatsApp Airtel CRED BookmyShow Zomato Swiggy Lenskart Mirae Asset Capital markets Indian Oil National Pension Scheme - and over 100 of Indias unicorns. With strong roots in India and growing operations in Southeast Asia we are shaping the next chapter of financial technology across the region.

We are backed by global investors including GIC Peak XV Partners (formerly Sequoia Capital India & SEA) Tiger Global Ribbit Capital Matrix Partners MasterCard and Salesforce Ventures having raised over $740 million to date. Strategic acquisitions - including Ezetap (POS and offline payments) Curlec (Malaysia expansion) BillMe (digital invoicing) and POP (rewards-first UPI) - along with earlier moves in fraud prevention payroll and lending have further strengthened our platform and widened our footprint across Asia.

But what truly sets Razorpay apart is our culture. At Razorpay ownership is our oxygen - you own what you build with no micromanagement or red tape just the runway to make your ideas fly. Learning is a lifestyle - if youre curious youll feel at home here. People > Pedigree - we hire for attitude hustle and hunger more than degrees. Transparency thrives over titles - this is where interns question CXOs and CXOs say thank you. Guided by our values of Customer First Autonomy & Ownership Agility with Integrity Transparency Challenging the status quo and a strong belief that Razorpay grows with Razors youll be part of a 3000 strong team building not just products but the financial infrastructure of the future.

The Role:

We are seeking a Senior Data Platform Engineer to join our dynamic and growing teamresponsible for building scaling and optimizing our cloud-native data platform. You will designand implement scalable data pipelines that power business-critical analytics real-time insightsand AI/ML solutions. As an experienced data architect and builder you will have the opportunityto redefine our data infrastructure to enable the next generation of products and drive innovativedata initiatives.

Roles and Responsibilities:

- Design Develop & Deploy scalable Data Platform with real-time and batch processingsolutions

- Write highly scalable code by following best practices in concurrency resourceoptimization and fault tolerance.

- Build and maintain the Infra with best IoC practices

- Identify and implement internal process improvements including automating manualtasks optimizing data flow and re-designing infrastructure for higher scalability andresilience.

- Develop automated monitoring alerting and logging systems for pipelines to ensurereliability uptime and data quality.

- Build and maintain data tools that enable analytics BI and data science teams toexperiment and optimize their workflows.

- Ensure end-to-end data governance by implementing policies for data quality securityand compliance.

- Optimize data models and architectures to power machine learning reporting andreal-time analytics.

- Collaborate closely with data scientists and product engineers to integrate ML modelsinto production systems and improve system functionality.

- Work with stakeholders across the organization to ensure alignment between datainfrastructure and business needs.

Mandatory Qualifications:

- 4 years of hands-on experience in Building and managing Large Scale Data Platforms.

- Experience with Version control CI/CD pipelines Kubernetes Docker and IaC tools.

- Strong Experience in Building and Maintaining Data Intensive APIs and Distributed DataProcessing Systems

- Strong programming skills in Scala Golang and optimizing SQL queries.

- Experience with both relational SQL and NoSQL databases

- Strong understanding of REST APIs Microservices event-driven architectures andStream processing frameworks.

- Experience working in cross-functional agile environments.

- Open-source contributions or active participation in developer communities.

- Prior experience in a product-based company is highly preferred.