Staff Data Engineer-Data Pipelines,Hadoop,Spark,Kafka,Java 8+(6+yrs- 8 yrs)

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profile Job Location:

Bengaluru - India

profile Monthly Salary: Not Disclosed
Posted on: 6 hours ago
Vacancies: 1 Vacancy

Job Summary

About the Role

Visa is seeking a Staff Data Engineer to join its Data & AI Platform  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:

  • Architect design and develop scalable high-performance data and AI platform solutions.
  • Build and optimize batch and real-time data pipelines using Hadoop Spark and Kafka.
  • Translate business and technical requirements into scalable architectures and enterprise-grade solutions.
  • Develop and maintain applications and platform services using Java 8 REST APIs JSON and container-based technologies.
  • Lead complex technical initiatives spanning distributed systems cross-functional technology teams and business stakeholders.
  • Establish and promote engineering best practices in performance scalability resiliency security and maintainability.
  • Work within Agile development environments and CI/CD pipelines using tools such as Git Maven Jenkins Triton Chef Sonar Clover JUnit and Mockito.
  • Champion shift-left quality practices including performance testing and secure coding standards.
  • Mentor engineers and provide technical leadership through design reviews problem-solving and architectural guidance.
  • 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. 


Qualifications :

Basic Qualifications:

5 years of relevant work experience with a Bachelors Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters MBA JD MD) or 0 years of work experience with a PhD OR 8 years of relevant work experience.

Preferred Qualifications:

5 years of relevant work experience with a Bachelors Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters MBA JD MD) or 0 years of work experience with a PhD OR 8 years of relevant work experience.

Experience supporting Data Analytics and AI/ML platforms. Familiarity with cloud platforms and container ecosystems.

Experience with observability resiliency engineering and performance optimization. Strong communication collaboration and stakeholder management skills.

Experience using GenAI tools LLMs Cline Claude and similar AI-assisted coding platforms for software development code reviews and engineering workflow optimization.


Additional Information :

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race color religion sex national origin sexual orientation gender identity disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.


Remote Work :

No


Employment Type :

Full-time

About the RoleVisa is seeking a Staff Data Engineer to join its Data & AI Platform  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 ...
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About Company

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Visa (NYSE: V) is a world leader in digital payments, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories. Our purpose is to uplift everyone, everywhere by being the best way to pay and b ... View more

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