Data Engineer- Sr. Consultant level- Data Serving - job 14 of 20

As a Data Engineer - Sr. Consultant at Visa, your core responsibilities include managing projects, delivering high-quality code for features and bug fixes, enhancing production systems, and acting as a subject matter expert in the data domain. You will also collaborate closely with agile teams, support junior engineers, and identify opportunities for further enhancements.

Candidates applying for the Data Engineer - Sr. Consultant position at Visa should possess a strong technical background in real-time data processing, excellent written and verbal communication skills, and experience building modern real-time applications. Familiarity with software development guidelines and an understanding of Visa's security standards are also important.

As part of Visa, Data Engineers can expect a fast-paced and collaborative work environment where innovation is key. This hybrid position allows flexibility to work both remotely and in an office setting 60% of the time, fostering teamwork and productivity.

In the Data Engineer - Sr. Consultant role at Visa, you will be at the forefront of leveraging data to drive technology and business development. By implementing sound architectural principles, you'll help create systems that are not only secure and easy to use but also enable Visa to maximize its data assets efficiently.

Coaching junior engineers is critical in the Data Engineer - Sr. Consultant role at Visa as it fosters a culture of knowledge sharing and enhances team capabilities. Your expertise will help develop the next generation of engineers and ensure the continued success and innovation at Visa.

To answer this question effectively, reflect on specific projects where you've implemented real-time processing. Discuss the technologies used, challenges faced, and how you overcame them. Highlight your critical thinking and problem-solving skills.

Discuss your approach to writing maintainable code, including the use of testing frameworks, code reviews, and following best practices. Show how these methods lead to fewer bugs and a better end product.

Share examples of how you implement architectural principles in your projects. Emphasize principles like scalability, performance, and security, illustrating how they have benefited your previous work.

Elaborate on your project management experience, explaining the tools you use, your approach to defining timelines, and how you coordinate with team members. Discuss adapting to changes while keeping projects on track.

Detail the resources you utilize to remain updated, such as blogs, webinars, and networking events. Explain how these insights help you to innovate and apply new knowledge in your work.

Discuss your communication strategies and tools that promote collaboration. Share a specific example where your approach led to a successful team output.

Be ready to narrate a detailed instance where you encountered a significant challenge. Describe your approach to diagnosing the issue, the solutions you considered, and the final outcome.

Explain your familiarity with Agile practices. Use specific examples from past experiences where you contributed to Agile teams, focusing on how the methodology improved project outcomes.

Talk about the importance of mentorship for both learning and teaching. Share your experiences mentoring others and how it has impacted your growth as a data engineer.

Discuss specific tools you utilize for source control and your approach to branching, merging, and managing version histories. Highlight the importance of these practices in collaborative environments.