Company Description
Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable and secure payments network, enabling individuals, businesses and economies to thrive.
When you join Visa, you join a culture of purpose and belonging – where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world – helping unlock financial access to enable the future of money movement.
Join Visa: A Network Working for Everyone.
Product Reliability Engineering(PRE) is part of the Visa's technology organization. The division is responsible for maintaining and supporting Visa's data assets and provides support for value added products and services to drive innovation for our partners and clients, within Visa and globally. Product Reliability Engineering Big Data Platform Team is part of PRE supports large scale shared clusters and Kafka clusters in Visa.
As a Lead Data Engineer, you will help teams design, enhance, support and build automation solution dealing with batch and real-time data in a fast-paced environment. You will work with user and application teams communities across Visa using Big data Technologies. You will be supporting a wide variety of technologies in one of the largest financial data Platform in world.
Responsibilities:
A successful candidate is an individual that thrives in a fast-paced environment, has customer focus, thinks big, and knows to simplify. The candidate will use sound architectural principles to implement effective and efficient solutions in big data Technologies.
An excellent fit has strong technical background and has sound written and verbal communication skills. The ideal candidate has production experience handling customer incidents, changes and working directly into production. You should be passionate about performance, scalability, and maintainability, cares about quality of services supported, and loves to learn new technologies.
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