Visa is a world leader in payments technology, facilitating transactions across more than 200 countries and territories and dedicated to uplifting 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 and dedicated to uplifting everyone by being the best way to pay and be paid.
The role combines data engineering fundamentals with marketing measurement expertise to drive data-informed marketing decisions in a privacy-first environment.
This is a hybrid position with expectations of days in office to be confirmed by the hiring manager.
Matching Summary
Visa is a world leader in payments technology, facilitating transactions across more than 200 countries and territories and dedicated to uplifting everyone by being the best way to pay and be paid.
Skills & Requirements
Must-have
Python programming with PySpark
Advanced SQL for data analytics
Hadoop ecosystem experience
Marketing experimentation methodologies
Data pipeline development
Data quality and governance
Data visualization tools
Nice-to-have
Cross-functional collaboration
Problem-solving and analytical thinking
Privacy-compliant measurement approaches
Key Requirements
Bachelor's or Master's degree in related field
3-5 years experience in data analytics or data engineering
Certifications in cloud platforms or data management are a plus