Data Engineer- Sr. Consultant level- Data Serving - job 15 of 20

As a Data Engineer - Sr. Consultant at Visa, you will manage projects, deliver high-quality code, enhance production systems, and act as a subject matter expert in your data domain. This includes collaborating with agile teams and other cross-functional departments to grasp requirements and implement effective solutions.

For the Data Engineer - Sr. Consultant role at Visa, strong technical proficiency in real-time data processing, excellent written and verbal communication abilities, and experience with agile methodologies are crucial. Additionally, a passion for code quality, performance, and new technologies will set you apart.

At Visa, Data Engineers have ample opportunities for career growth due to the emphasis on continuous learning and innovation. As a Data Engineer - Sr. Consultant, you'll also have the chance to mentor junior engineers, fostering your leadership skills and enhancing your career trajectory.

The work environment for the Data Engineer - Sr. Consultant at Visa is dynamic and collaborative. This hybrid position allows you to balance working from the office and remote, ensuring that creativity and innovation thrive in your work while also enabling effective team collaboration.

Visa places a high priority on data security, quality, and accessibility. As a Data Engineer - Sr. Consultant, you’ll be crucial in upholding these standards, ensuring that Visa remains at the forefront of the payment industry through effective data utilization.

When managing multiple projects, it's essential to prioritize based on deadlines, project impact, and team needs. Utilize project management tools and agile practices to keep track of progress and maintain open communication with your team members.

To ensure code quality, adopt best practices such as writing unit tests, conducting code reviews, and adhering to established development guidelines. Always strive for clean, maintainable code and remain open to feedback during peer reviews.

In challenging production situations, stay calm and follow a systematic troubleshooting approach. Gather data, analyze the issues, and collaborate with your team to devise effective solutions, always documenting the process for future reference.

I regularly read industry blogs, attend webinars, and participate in relevant workshops. Networking with other data professionals also provides insights into emerging technologies and best practices that keep my skills sharp.

Discuss projects that showcase your proficiency in real-time data processing, highlighting specific challenges, your approach to them, and the positive outcomes achieved. This demonstrates both technical skills and your capacity for innovation.

Highlight your experience working in agile settings, emphasizing collaboration, iteration, and adaptability. Discuss specific roles you have played within the agile framework, like participating in sprints or retrospectives to improve team efficiency.

Security should be integrated into every aspect of the data solution. This includes following established security standards, conducting regular assessments, and staying informed about emerging security threats within the data engineering domain.

Share a concrete example focusing on a specific process or standard you improved, outlining the problems faced, the actions taken, and the measurable results. This will illustrate your problem-solving skills and dedication to continuous improvement.

A successful data project is one that meets stakeholder requirements, adheres to deadlines, remains within budget, and provides actionable insights. Communication and collaboration throughout the project lifecycle are also critical to success.

Effective communication is vital for a Data Engineer as it fosters collaboration across different teams. Clear communication ensures that everyone is aligned on project goals, timelines, and requirements, ultimately contributing to their success.