Staff Data Engineer
- Bangalore, India
As the world's leader in digital payments technology, Visa's mission is to connect the world through the most creative, reliable and secure payment network - enabling individuals, businesses, and economies to thrive. Our advanced global processing network, VisaNet, provides secure and reliable payments around the world, and is capable of handling more than 65,000 transaction messages a second. The company's dedication to innovation drives the rapid growth of connected commerce on any device, and fuels the dream of a cashless future for everyone, everywhere. As the world moves from analog to digital, Visa is applying our brand, products, people, network and scale to reshape the future of commerce.
At Visa, your individuality fits right in. Working here gives you an opportunity to impact the world, invest in your career growth, and be part of an inclusive and diverse workplace. We are a global team of disruptors, trailblazers, innovators and risk-takers who are helping drive economic growth in even the most remote parts of the world, creatively moving the industry forward, and doing meaningful work that brings financial literacy and digital commerce to millions of unbanked and underserved consumers.
You're an Individual. We're the team for you. Together, let's transform the way the world pays.
Visa is seeking a Staff Data Engineer in the Data Platform department to act as one of key technology leaders to build and manage Visa’s technology assets in the Platform as a Service organisation. As a Staff Data Engineer, you will work on Open source Platforms Enhancements. You will have the opportunity to lead, participate, guide, and mentor other engineers in the team on design and development. This position will be based in Bangalore, KA and reporting to Director of Engineering.
Proficiency in engineering practices and writing high quality code, with expertise in either one of Java or Python
Experience in building platforms on top of Big Data open source platforms like Hadoop/Hive/Spark/Tez.
Experience in building applications on top Kubernetes and containers.
Contributions to one or more Big Data Open Source Technologies like Hadoop/Hive/Spark/Tez etc will be an added plus.
Experience in building Cloud Data Technologies.
Experience in Building platforms on top of Cloud Data Stacks.