The Impact You'll Drive
At Vegapay, data is not a support function - it is a core product enabler. As a
Data Engineer, you will build the backbone that powers our credit infrastructure, enabling reliable, real-time, and scalable data systems.
Your work will directly influence decision-making across product, risk, and business teams. From designing high-performance pipelines to enabling analytics and ML use cases, you will ensure our data ecosystem is robust, efficient, and built for scale. Simply put, you will turn data into a competitive advantage.
The Hats You Will Wear
- Build and scale reliable data pipelines across batch and real-time systems
- Design and maintain data lakes and warehouses on AWS/GCP for high performance and availability
- Develop scalable ETL/ELT workflows across diverse data sources and formats
- Optimize data architecture for performance, cost, and reliability
- Implement real-time data processing within a microservices ecosystem
- Create reusable data assets and tools for analytics and data science teams
- Design efficient data models aligned with product and business needs
- Drive automation and continuously improve data workflows and infrastructure
- Partner with Product, Business, and Data teams to solve high-impact problems
- Establish and enforce best practices across data engineering, including CI/CD, testing, and monitoring
- Define and maintain data taxonomy, metadata, and documentation standards
- Evaluate and adopt new technologies to strengthen our data stack
The Perfect Fit
- 3+ years of hands-on experience in data engineering
- Strong experience building and scaling data pipelines and architectures
- Proficiency in big data technologies (Spark/Flink, Kafka/Kinesis, Hive, etc.)
- Strong SQL skills and experience with both relational and NoSQL databases (e.g., Elasticsearch, Cassandra, MongoDB)
- Experience with workflow orchestration tools (Airflow, Luigi, etc.)
- Solid exposure to AWS or GCP ecosystems
- Experience with real-time/stream processing systems
- Proficiency in programming languages like Java or Scala
- Strong understanding of data modeling, metadata, and data governance principles
- Experience working with large-scale structured and unstructured datasets
- Familiarity with scalable data stores and distributed systems
- Strong problem-solving skills and ability to work in a fast-paced, cross-functional environment
- Good understanding of engineering best practices (Agile, CI/CD, testing frameworks)
The Problem We're Solving
Financial institutions today are held back by legacy systems that are slow, rigid, and expensive to scale. Launching or evolving credit, lending, and UPI products often takes months, requires heavy engineering effort, and limits the ability to create personalized customer experiences.
At the same time, customer expectations have changed - speed, flexibility, and tailored financial products are no longer optional. Banks and fintechs need infrastructure that allows them to innovate quickly, adapt continuously, and scale without friction.
This is where we come in.
At Vegapay, we are building modern, configurable fintech infrastructure that enables banks, NBFCs, and enterprises to design, launch, and manage credit and payment programs with ease. Our platform brings together flexibility, speed, and control - helping our partners unlock new growth opportunities and deliver personalized banking experiences at scale.
The Opportunity Ahead
- High ownership: You build it, you own it
- Build at the Core of Fintech Infrastructure
- Strong engineering culture: Clean code, solid architecture, fast execution
- Zero fluff: Minimal bureaucracy, maximum impact
