Data Engineer- Sr. Consultant level- Data Serving - job 5 of 20

As a Senior Data Engineer at Visa, your key responsibilities include managing projects, delivering high-quality code for features and bug fixes, enhancing and supporting production systems, and acting as a subject matter expert in the data domain. You'll work closely with agile teams and user communities to implement effective solutions while also identifying opportunities for enhancements and innovations in our processes.

To be considered for the Senior Consultant Data Engineer position at Visa, candidates should have a solid technical background in real-time data processing. Excellent written and verbal communication skills are essential, alongside a passion for quality code, performance, and maintaining high standards. The ideal candidate will also have prior production experience in building modern real-time applications.

At Visa, a Senior Data Engineer can expect a collaborative and fast-paced work environment that embraces innovation and customer obsession. The role is hybrid, which allows flexibility to work remotely while also dedicating time in the office to foster teamwork and collaboration with fellow engineers, product managers, and stakeholders.

Visa is committed to supporting the professional development of its Senior Data Engineers by encouraging them to keep up with industry trends, explore new technologies, and engage in continuous learning. Senior engineers are also given opportunities to mentor junior colleagues, which fosters a culture of knowledge sharing and collective growth within the team.

Real-time data processing is crucial for Visa as it enables the company to leverage data assets effectively and maximize technology and business development. As a Senior Data Engineer, you'll contribute to building and maintaining systems that provide high-quality, secure, and timely data, ultimately differentiating Visa in the competitive payment industry.

When answering this question, share specific examples of projects you've worked on that involved real-time data processing. Highlight the technologies you used, the challenges you faced, and how you overcame them. Focus on how your contributions enhanced performance or usability.

Discuss key architectural principles such as scalability, maintainability, and security. Provide examples of how you have implemented these principles in past projects and the positive outcomes that resulted from following them.

Mention practices like unit testing, code reviews, and adherence to coding standards. Explain how these practices have improved the reliability of your projects and supported team collaboration.

Provide examples of projects where you took on management responsibilities. Discuss your approach to planning, prioritization, and collaboration with team members and stakeholders, emphasizing your ability to meet deadlines and deliver high-quality outcomes.

Share a specific project where you collaborated within an agile framework. Talk about your responsibilities in planning, daily stand-ups, and retrospectives, and how your contributions helped the team achieve its goals.

Discuss your approach to mentoring, such as holding regular check-ins, providing constructive feedback, and facilitating learning opportunities through pair programming or knowledge sharing sessions. Illustrate with examples from your past experiences.

Identify specific challenges you've encountered, such as handling latency or ensuring data integrity. Explain how you addressed these challenges and the successful outcomes achieved through your interventions.

Talk about the resources you utilize, such as online courses, tech blogs, or industry conferences. Emphasize your commitment to continuous learning and how you've applied new knowledge to improve your work.

Share your passion for data and technology, discussing specific aspects of data engineering that excite you. Mention how your drive to innovate and solve problems is aligned with Visa's mission and values.

Detail a project in which you played a key role, describing the objectives, your contributions, and the overall impact it had on the team or organization. Highlight any successful outcomes or learnings from the project.