The Impact You’ll Drive

We are looking for a seasoned data engineering qualified who is passionate about building scalable, reliable, and high-performance data platforms. The ideal candidate has deep experience designing modern data architectures, developing real-time and batch data pipelines, and working with large-scale distributed systems on cloud platforms. You should be equally comfortable collaborating with business stakeholders to translate data requirements into robust data models as you are implementing engineering best practices that drive quality, scalability, and innovation. If you enjoy solving complex data challenges and building the foundation that powers data-driven decision-making, we’d love to hear from you.

The Hats You Will Wear

• Create and maintain optimal data pipeline architecture
• Extract, Transform and Load data from multiple sources and multiple formats using Big Data Technologies.
• Develop and maintain robust data warehouses and lakes on AWS/GCP, ensuring architecture supports efficient data retrieval and storage.
• Identify, design,



and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Author complex SQL queries and design data models to optimize for performance and scalability, addressing product and business requirements.
• Implement real-time data processing pipelines within a micro-services architecture, ensuring timely data availability and integrity.
• Collaborate with cross-functional teams (Data Science, Product, Business) to support data infrastructure and analytics initiatives.
• Advocate

📌 Data Engineering Manager (Bengaluru)
🏢 Vegapay
📍 Bengaluru