Senior Data Engineer- Data Science Platform

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Job description

Job Description

Visa's Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world's most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you'll get to work on complex distributed systems and tackle massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms.

At Data Science Platform (DScP), we are revolutionizing the field of machine learning and artificial intelligence by developing cutting-edge capabilities and tools that empower organizations at Visa to invent, deploy, monitor, and optimize their AI/ML solutions with ease. We are a dynamic and innovative team, driven by a passion for AI/ML technology and a commitment to delivering exceptional platforms and services to our business partners internally at Visa. Join us in shaping the future of Generative AI for Data Solutions and making a significant impact on the enterprise.

As a member of the team, you will have the opportunity to directly contribute and deliver solutions that are intuitive, user centric, and accessible for Data Science Platform and beyond.

What are we looking for?

Architect, design, build, develop, test, and/or implement software applications. Conduct business and technical analysis, code reviews, and unit testing. Implement, and produce technical documentation of solutions for new development, system enhancements, and production support.

Design, develop, and implement modifications and corrections to existing software, including the development of debugging routines.

Perform regular check-ins to continuous integration of systems and/or software applications.

Participate in cross-functional teams and work with architects, systems analysts, project managers, QA and other developers to implement business requirements while applying the latest available tools and technology.

Work under direct supervision to ensure on-time delivery of projects, production support plans, and knowledge transfer for long-term supportability of upgrades, enhancements, and deployments.

API/Full stack development to build out features of Visa's Data Mesh solution. Build components in Java, Python, React etc. to build a self-service Data discovery and data pipeline management platform.

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

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