Data Engineer- Sr. Consultant level- Data Serving - job 3 of 20

As a Data Engineer - Sr. Consultant at Visa, your key responsibilities include managing projects and releases, defining high-quality code for features and bug fixes, and enhancing production systems. You will serve as a subject matter expert in the data domain, working closely with agile teams and user communities to implement effective solutions while ensuring adherence to software development guidelines and Visa security standards.

To excel as a Data Engineer - Sr. Consultant at Visa, you should possess a strong technical background in real-time data processing, excellent written and verbal communication skills, and a deep understanding of software development principles. Experience with modern real-time applications and a passion for performance, testability, and maintainability are also critical for success in this role.

As a Data Engineer - Sr. Consultant at Visa, you will work in a dynamic and collaborative environment. This role is hybrid, allowing you flexibility to alternate between remote work and office presence, with set office days determined by leadership. You'll engage with various teams, including agile squads, architects, and support teams, fostering a culture of innovation and shared learning.

At Visa, professional growth is a priority. As a Data Engineer - Sr. Consultant, you're expected to stay updated on industry trends and best practices, with opportunities for coaching and mentoring junior engineers. Additionally, you will be encouraged to identify enhancements and refinements to processes, contributing to your development and that of the team.

What makes the Data Engineer - Sr. Consultant role at Visa unique is the emphasis on customer obsession, innovation, and simplicity in solution design. You will not only manage data systems critical to Visa's operations but also be a part of a culture that values ongoing learning, collaboration across teams, and the ability to drive impactful changes within the payment industry.

In answering this question, articulate specific projects where you implemented real-time data solutions, highlighting the technologies you used and the impact of your work. Be sure to touch on challenges faced and how you overcame them, demonstrating both your problem-solving skills and technical expertise.

When responding, choose a project that highlights your project management skills. Discuss the challenge, your approach to managing the project timelines, the collaboration with team members, and the successful outcomes, ensuring to reflect on lessons learned that could apply to future projects.

Mention key architectural principles such as scalability, performance, maintainability, and security. Provide a brief example of how you've applied these principles in past projects, illustrating your ability to design robust data solutions that meet user needs effectively.

Talk about best practices you follow for code quality, such as writing unit tests, conducting code reviews, and adhering to coding standards. Sharing specific tools or methodologies you've used can further strengthen your response, showcasing your commitment to delivering high-quality software.

In your reply, describe a situation in which you actively participated in sprint planning, retrospectives, and daily stand-ups. Highlight how you contributed to the agile process and adjusted your work based on team feedback, demonstrating your adaptability and teamwork skills.

Reflect on the growing importance of data in driving innovation and decision-making within organizations. Discuss how you believe Visa can leverage data serving to improve customer experiences, optimize operations, and maintain a competitive edge in the payment industry.

Speak about your philosophy on mentorship, emphasizing patience, active listening, and providing constructive feedback. Mention specific examples when you have successfully guided junior engineers, showcasing the impact of your mentorship on their professional growth.

List the tools and technologies you are familiar with, including programming languages, data processing frameworks, and cloud platforms. Be prepared to explain your experience with each and how you've applied them in previous roles to contribute to project success.

Explain the resources you utilize to keep abreast of developments in data engineering, such as online courses, webinars, tech blogs, and conferences. Emphasize your eagerness to learn and how you apply new knowledge to your work environment.

Express genuine interest in Visa’s mission and vision, aligning your professional values with those of the company. Discuss specific reasons like career growth opportunities, the innovative projects Visa undertakes, and your desire to contribute to the company’s success in the payment industry.