Visa is a world leader in payments technology, facilitating transactions across more than 200 countries and territories with a mission to uplift everyone by being the best way to pay and be paid
Job Summary
Visa is a world leader in payments technology, facilitating transactions across more than 200 countries and territories with a mission to uplift everyone by being the best way to pay and be paid.
The role involves architecting scalable data platforms, driving engineering excellence, and building data infrastructure that powers AI-driven solutions for Visa's global clients.
This position offers the opportunity to mentor engineers, lead critical data engineering projects, and collaborate with cross-functional teams to translate requirements into technical solutions.
Matching Summary
Visa is a world leader in payments technology, facilitating transactions across more than 200 countries and territories with a mission to uplift everyone by being the best way to pay and be paid.
Skills & Requirements
Must-have
Apache Spark data engineering
Kafka streaming architectures
AWS and Azure cloud services
Python and Scala/Java programming
ETL/ELT pipeline development
CI/CD and DevOps automation
Workflow orchestration tools
Nice-to-have
Real-time data processing frameworks
Data quality and observability tools
Multi-cloud infrastructure experience
AI/GenAI infrastructure knowledge
Vector databases and semantic search
MLOps and model lifecycle management
Strong architectural and leadership skills
Key Requirements
7+ years data engineering experience
Bachelor's or Master's degree in relevant field
Proven leadership in complex data projects
Experience with big data technologies
Strong SQL and NoSQL database skills
Hands-on cloud infrastructure expertise
Experience with containerization and orchestration