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Senior Data Engineer- Platform as a Service
Company: Visa
Location: Palo Alto, CA
Employment Type: Full Time
Date Posted: 08/17/2022
Expire Date: 11/27/2022
Job Categories: Computers, Software, Engineering, Information Technology, Research & Development
Job Description
Senior Data Engineer- Platform as a Service

Visa is seeking an Senior Data Engineer in the Data and AI Platform department to build and manage Visa’s Open-Source Hadoop in the Data and AI Platform.

This individual will act as a trusted technical expert and strategic contributor to the Data and AI Platform department. The successful candidate should be comfortable navigating challenging projects in big data and Data and AI Platform areas and be comfortable in a fast-paced environment with significant changes, developing/implementing strategies and processes that enable the organization to innovate and grow fast. You will have the opportunity to lead, participate, guide, and mentor other people in the team on architecture and design in a hands-on manner. This position reports to the head of the Large-Scale Shared Platform team in Palo Alto. The ideal candidate will have very strong development skill while exposure Open-Source Hadoop and big data / large-scale software platforms like Hadoop, Presto, Hive and HDFS are required.

Essential Functions

  • Provide Platform-as-a-Service offerings that are easy to consume, scalable, secure, and reliable using open source based solutions for Big Data technologies
  • Work at the intersection of infrastructure and software engineering, and design and deploy cloud infrastructure build on top of open-source components, including Hadoop, Hive, Spark, HBase, Kafka streaming and other Open Source Big Data technologies.
  • Collaborate with various teams to build and maintain the most innovative, reliable, secure, and cost-effective distributed solutions. 
  • Bring together cross-functional teams and build automation to deliver programmable and vendor-neutral infrastructure that transforms virtualization to new compute paradigm. Design the Cloud, and Container strategy around PaaS Solutions.
  • Facilitate knowledge transfer to the Engineering and Operations team during and after deployment.
  • Work with geographically distributed teams on technical challenges and process improvements.
  • Responsible for the design and implementation of agile-innovative infrastructure solutions that take advantage of technology advances that allow cost reduction, standardization, and commoditization.
  • Drive the adoption of open standard toolsets to reduce complexity and support operational goals for increasing automation across the enterprise.
  • Champion the adoption of open infrastructure solutions that are fit for purpose while keeping technology relevant.
Contact Information
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