Data Engineer -Sr Consultant-Data Serving - job 20 of 21

As a Data Engineer - Sr Consultant - Data Serving at Visa, your responsibilities include providing technical leadership and mentoring for your team, designing scalable and reliable data solutions, and leading the implementation of these components. You'll also focus on fostering an agile development culture and facilitating knowledge transfer within the engineering and operations teams. Moreover, you’ll play a crucial role in driving innovation while collaborating closely with senior management and architectural teams to create widely accepted solutions.

To qualify for the role of Data Engineer - Sr Consultant - Data Serving at Visa, you should have extensive experience in data engineering, with a proven track record of delivering robust, scalable solutions. Strong programming skills are essential, along with a deep understanding of data architectures. Experience in mentoring team members and leading technical projects is vital. Familiarity with agile methodologies and the ability to collaborate with geographically distributed teams will also be important in this role.

The team culture for the Data Engineer - Sr Consultant - Data Serving at Visa is focused on innovation, collaboration, and continuous learning. You'll be working in a dynamic environment where team members are encouraged to share knowledge, provide mentorship, and embrace an agile development approach. Teamwork and a positive, open demeanor are key to maintaining our high-quality standards and achieving our business goals.

As a Data Engineer - Sr Consultant - Data Serving, your role is pivotal in helping Visa make data-driven decisions that shape the future of payments. By developing risk and identity solutions, you contribute to enhancing our understanding of consumers. Your ability to lead technical initiatives and drive quality will significantly impact Visa's operational efficiency and innovation in the digital payments landscape.

Absolutely! Coding is a critical component of the Data Engineer - Sr Consultant - Data Serving position at Visa. In fact, you'll be expected to code at least 75% of the time. This hands-on technical leadership aspect allows you to directly influence the implementation of high-quality, reliable, and scalable solutions that meet our business users' needs.

In preparing for this question, it's important to draw from your past experiences by describing specific projects where you built scalable data solutions. Discuss the technologies used, challenges faced, and how you overcame them to ensure the solutions met business requirements.

Tailor your response to emphasize languages relevant to the role, such as Python, Java, or Scala. Highlight specific projects or tasks where you've utilized these languages effectively, demonstrating your proficiency in coding.

Talk about practices you implement, such as code reviews, automated testing, and using continuous integration/continuous deployment (CI/CD) pipelines. Emphasize your commitment to maintaining high standards and improving quality over time.

Share a specific example that highlights your leadership skills. Discuss the challenge, your approach to leading the team, the actions taken to resolve the issue, and the positive outcomes as a result of your leadership.

Explain your familiarity with agile methodologies, including any specific frameworks you've worked with such as Scrum or Kanban. Illustrate how agility has improved the pace and quality of deliverables in your past projects.

Outline a situation where you collaborated with teams across different locations. Highlight the tools and strategies you used to maintain communication and effectiveness despite physical distance to achieve project success.

Discuss your philosophy on mentoring, including how you provide guidance and support to help junior engineers grow. Share any success stories to demonstrate your effectiveness as a mentor and leader.

Describe the methods and resources you use to stay informed, such as attending industry conferences, participating in online forums, following relevant publications, or engaging in continuous education.

Mention specific data visualization tools you’ve used, such as Tableau, Power BI, or Looker. Explain why you prefer these tools for their capabilities and how they've helped in your previous projects to convey impactful data insights.

Discuss your approach to project management, including re-assessing priorities, facilitating team discussions to identify bottlenecks, and communicating transparently with stakeholders to find solutions without compromising quality.