Data Engineer- Sr. Consultant level- Data Serving - job 10 of 20

As a Senior Consultant Data Engineer at Visa, your primary responsibilities will include managing projects, delivering high-quality coding for new features and bug fixes, and enhancing production systems. You'll work as a subject matter expert in the data domain, collaborating closely with agile teams and the user community to create effective data solutions. Your role will also involve coaching junior engineers and identifying opportunities for improvements in processes and standards to drive innovation.

To qualify for the Senior Consultant Data Engineer position at Visa, candidates should possess a strong technical background in real-time data processing and a solid understanding of software development principles. Excellent written and verbal communication skills are vital, along with a passion for coding quality, performance, and maintainability. Experience in building modern, real-time applications and production environments is essential, alongside a commitment to continuous learning and innovation in technology.

At Visa, professional growth is encouraged through a supportive work culture that values continuous learning. Senior Consultant Data Engineers are empowered to mentor junior engineers, share knowledge within agile teams, and pursue training opportunities in the latest technologies and best practices. Additionally, the hybrid work model facilitates collaboration while allowing flexibility, creating an environment where innovation and skill enhancement thrive.

The work environment for a Senior Consultant Data Engineer at Visa in Foster City is dynamic and collaborative. You will be part of a technology-driven team committed to innovation and excellence. The hybrid position means you can enjoy flexibility by working from home or the office. Structured office days ensure team interaction while allowing space for independent work, ultimately fostering productivity and team cohesion.

Visa's Senior Consultant Data Engineer position involves a variety of technologies, especially focused on modern data processing frameworks and architectures. You’ll likely work with distributed systems and real-time data technologies, while adhering to Visa's established security standards and software development guidelines. Keeping up with industry trends and continuously learning about new technologies will be crucial to success in this role.

In answering this, focus on specific technologies and frameworks you have worked with, such as Apache Kafka or Spark. Highlight any projects where you implemented real-time solutions, the challenges faced, and how you overcame them.

Discuss tools and methodologies you use for testing and code reviews, such as unit tests, continuous integration/continuous deployment (CI/CD) practices, and peer reviews. Mention how these contribute to maintaining the quality of the software developed.

Explain your experience with various methodologies, emphasizing Agile practices prevalent at Visa. Share your role in sprints, planning sessions, and how you adapt to changes in project requirements effectively.

Highlight the importance of communication and relationship-building in your approach. Provide examples of past collaboration efforts, how you gathered requirements, and how feedback was integrated into your projects.

Discuss your mentorship style, focusing on how you provide guidance and share knowledge. Mention specific examples where you helped junior engineers grow, whether through code reviews, pair programming, or encouraging self-directed learning.

Share details of a project you led, including your management style, tools used for tracking progress, and how you motivated your team. Emphasize the importance of stakeholder communication and adapting project direction as needed.

Explain your methods for continuous learning, including attending workshops, participating in forums, and following industry leaders. Share how you apply new knowledge to your work, and mention specific technologies you're excited about.

Choose a prevalent challenge in data engineering, describe the problem clearly, and walk through the steps you took to overcome it. Focus on your analytical reasoning and collaboration with others to find a solution.

Underlining your organizational skills, mention tools you use for prioritization and time management techniques like the Eisenhower Matrix or Kanban boards. Discuss the importance of staying flexible and responsive to changing priorities.

Share your perspective on trends like real-time analytics, machine learning integration, or the growing importance of data security. Discuss how you envision the role of data engineers evolving in alignment with future technological advancements.