Data Engineer- Sr. Consultant level- Data Serving - job 18 of 20

As a Data Engineer-Sr. Consultant at Visa, you will be responsible for managing projects and providing guidance to teammates, delivering high-quality code for features and bug fixes, and supporting and enhancing production systems. You'll also serve as a subject matter expert in the data domain, collaborate with agile teams, and require a strong understanding of best practices to drive innovation within the data platform department.

Candidates for the Data Engineer-Sr. Consultant position at Visa should have a robust technical background in real-time data processing, with proven experience in building modern real-time applications. Strong communication skills, both written and verbal, are crucial, along with a passion for code quality and testing. Ideally, you should have experience with agile methodologies and a desire to keep learning and embracing new technologies.

Yes! The Data Engineer-Sr. Consultant position at Visa is a hybrid role, allowing you to alternate between working remotely and in the office. This setup means you can collaborate with teams in person three set days a week, ensuring a healthy work-life balance while meeting business needs.

To thrive as a Data Engineer-Sr. Consultant at Visa, you should possess strong technical and problem-solving skills related to data processing. A customer-centric approach, the ability to simplify complex concepts, and a keen interest in industry trends are also vital. Furthermore, mentoring and coaching junior engineers will be an integral part of your role, so leadership abilities are highly valued.

Visa promotes an environment where Data Engineers can advance their careers by taking on leadership roles, mentoring junior team members, and participating in continuous learning initiatives. As a Data Engineer-Sr. Consultant, you'll have the chance to drive innovation and refine standards, setting a strong foundation for further professional development within the organization.

When answering this question, focus on specific technologies you have worked with, such as Apache Kafka or Spark Streaming. Highlight any projects where you successfully implemented real-time solutions that achieved measurable results, explaining how your contributions can enhance Visa's data handling capabilities.

Describe your strategies for scalability, such as using microservices architecture or cloud services. Mention best practices you follow to ensure maintainability, including clean coding principles and comprehensive testing. Connect your approach directly to the expectations Visa has for data quality and performance.

Discuss specific agile methodologies you've experienced, such as Scrum or Kanban. Provide examples of how you've collaborated with cross-functional teams to manage deliverables, adapt to changes, and iterate based on user feedback, all of which are critical for success in Visa's fast-paced environment.

Emphasize the importance of compliance with security standards, such as Visa's guidelines. Talk about specific tools or methods you've used to secure data, conduct regular audits, or address vulnerabilities, demonstrating your understanding of the industry standards vital to Visa.

Share a specific challenge, detailing the context, your approach, the technologies used, and the outcome. Focus on the problem-solving process, showcasing your analytical and technical skills, which are essential for a Data Engineer at Visa.

Discuss tools or frameworks you use to keep track of project timelines, such as JIRA or Trello. Explain how you prioritize tasks, communicate progress to stakeholders, and handle any roadblocks, illustrating your project management skills relevant to the Data Engineer-Sr. Consultant position.

Talk about your mentoring style and any formal or informal experiences you've had. Explain how you've supported junior engineers in developing their skills, fostering a collaborative and growth-oriented environment, which aligns with Visa's commitment to team development.

Highlight your commitment to continuous learning, mentioning resources like industry blogs, online courses, or professional networks. Relate this to how staying informed can benefit Visa, ensuring the team is equipped with the latest knowledge for innovative data solutions.

Illustrate your belief in the importance of collaboration by sharing examples where collaboration directly influenced the outcome of a project. Show how working with different teams enriches problem-solving and enhances project results, which is vital at Visa.

Share your genuine passion for data engineering and how you admire Visa's commitment to innovation and service excellence. Align your excitement with Visa's vision and your desire to contribute meaningfully to the team and broader mission.