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Staff Data Engineer-Data Pipelines, Hadoop, Scala,spark,Kafka (6+yrs- 8 yrs) at Visa
VisaBengaluru, INDIA, inΒ·2h ago
SeniorFull-timeJavaREST APIAgileCI/CDGitAIAPI
Salary Range
$26,520 - $35,880 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
Visa is seeking a Staff Data Engineer to join its Data & AI Platform team. In this role, you will architect, design, and build scalable big data and enterprise platform solutions that power critical data, analytics, and AI capabilities across the organization, including tools and ecosystems such as Copilot, Cline, LLMs, Claude, and related AI-assisted engineering platforms.
The ideal candidate will bring deep technical expertise in Hadoop, Spark, Kafka, Big Data technologies, Java 8+, distributed systems, and API-driven application development, along with demonstrated strength in solution architecture, technical leadership, and mentoring.
Key Responsibilities:
β’ Architect, design, and develop scalable, high-performance data and AI platform solutions.
β’ Build and optimize batch and real-time data pipelines using Hadoop, Spark, and Kafka.
β’ Translate business and technical requirements into scalable architectures and enterprise-grade solutions.
β’ Develop and maintain applications and platform services using Java 8+, REST APIs, JSON, and container-based technologies.
β’ Lead complex technical initiatives spanning distributed systems, cross-functional technology teams, and business stakeholders.
β’ Establish and promote engineering best practices in performance, scalability, resiliency, security, and maintainability.
β’ Work within Agile development environments and CI/CD pipelines using tools such as Git, Maven, Jenkins, Triton, Chef, Sonar, Clover, JUnit, and Mockito.
β’ Champion shift-left quality practices, including performance testing and secure coding standards.
β’ Mentor engineers and provide technical leadership through design reviews, problem-solving, and architectural guidance.
β’ Leverage agentic coding tools and AI-assisted engineering practices to enhance developer productivity, code quality, and delivery speed.This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. 
