The candidate must have

- Lead and participate in the design and implementation of our Analytics infrastructure to align with the vision of Visa Data Platform Infrastructure.
- Design and implement technical solutions to support the ecosystem of Analytics Infrastructure.
- Responsible for the implementation of ongoing Hadoop infrastructure including monitoring, tuning and troubleshooting.
- Design, implement and maintain security, data capacity, node forecasting and planning.
- Provide hardware architectural guidance, plan and estimate cluster capacity, and create roadmaps for the Hadoop cluster deployment.
- Actively participate in all phases of software development lifecycle: analysis, technical design, planning, development, testing/CICD, release, post production/escalation support
- Work on a highly scalable, available and resilient multi-tenant Platforms that can host large scale and highly critical applications.
- Innovate and Re-pivot Problems with Models and Higher Dimension Concepts to Support Current and Potential Use Case(s).
- Develop large scale multi-tenant software components on the Platform in an Agile based methodology to provide self-service capabilities.
- Collaborating with partners from business and technology organizations, develop key deliverables for Data Platform Strategy - Scalability, optimization, operations, availability, roadmap.
- Build partnerships with other technology teams to drive efficiency in their use of platforms and services that PaaS provide.
- Expertise in applying the appropriate software engineering patterns to build robust and scalable systems.




- Ability to act as a Tech lead, guide and mentor junior members in the scrum team. Stays current with current and evolving technologies.
- Take ownership of Platform/PaaS architecture and drive it to the next level of effectiveness to support current and long term requirements.
- Builds strong commitment within the team to support the appropriate team priorities.

This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.

Qualifications

Basic Qualifications

- Bachelor's degree in Computer Science, or related technical discipline.
- With 12+ years of software development experience in building PaaS or Application frameworks.
- Good to be as contributor/committer in one of the Bigdata technologies – Spark, Kafka, Kubernetes, Flink, Druid, Yugabyte, Pinot, Starrocks, temporal.
- Proficiency in engineering practices and writing high quality code, with expertise in either one of Java or Python or Go.
- Experience in building REST services and API's following best practices of service abstractions, Micro-services and Orchestration frameworks.
- Experience building generic services and instrumentation of libraries for wide use across an organization / company.
- Experience in Agile methodology and CICD - tool Integration, automation, configuration management in GIT.
- Excellent verbal and written communication and presentation skills, analytical and problem-solving skills
- Appreciation of diverse LOBs(Line of business) and their platform needs combined with deep technical expertise are required for the role.

📌 Lead Data Engineer (Bengaluru)
🏢 Visa
📍 Bengaluru