Data Engineer- Sr. Consultant level- Data Serving - job 4 of 20

As a Data Engineer - Sr. Consultant at Visa, your key responsibilities will involve managing projects and releases, enhancing and supporting production systems, and defining and delivering high-quality code for features and bug fixes. You'll also be expected to coach junior engineers and collaborate closely with the agile team to implement effective solutions that align with user requirements.

To apply for the Data Engineer - Sr. Consultant role at Visa, you should possess strong technical skills in real-time data processing, relevant production experience, and excellent communication abilities. A sound understanding of software development guidelines and Visa security standards is essential, along with the capacity to leverage architectural principles in delivering efficient solutions.

The Data Engineer - Sr. Consultant position at Visa is a hybrid role. This means you can enjoy the flexibility of working from home while also being required to work in the office at least three days a week based on business needs and team schedules.

In your role as a Data Engineer - Sr. Consultant at Visa, you will build and maintain relationships with various stakeholders, including the agile team, user community, architects, and support teams. This collaboration is vital for understanding requirements and delivering effective solutions that enhance Visa's data capabilities.

As a Data Engineer - Sr. Consultant at Visa, you'll have significant opportunities for professional development. You will not only be able to enhance your technical skills but also have the chance to coach junior engineers, stay updated with industry best practices, and drive innovative changes within the organization.

Discuss specific projects where you implemented real-time data solutions, including the technologies used and the challenges faced. Highlight your role in optimizing performance and how you ensured data integrity.

List the key tools and technologies you have experience with, such as Apache Kafka, Spark, or SQL databases. Be prepared to explain your familiarity with these platforms and their relevance in data engineering tasks.

Talk about your practices such as code reviews, unit testing, and adherence to coding standards. Mention specific tools you use, and how you instill a quality-driven culture among team members.

Provide examples of projects where you successfully collaborated with teams outside of your immediate team. Emphasize your communication skills and how you tailor your approach based on team dynamics.

Discuss your systematic approaches, such as monitoring usage, gathering feedback, and analyzing performance metrics. Explain how you prioritize enhancements based on user impact and business goals.

Explain your practices for continuous learning, such as attending conferences, participating in online courses, or following key thought leaders in data engineering. This shows your commitment to professional growth.

Share a specific example that details the challenge, your approach to problem-solving, and the outcomes. Highlight the key skills and knowledge you applied and how it benefited the project.

Discuss your mentoring philosophy, including how you support their growth through paired programming, regular feedback, and fostering a culture of open communication. Be specific about the impact this has had on their development.

Describe your project management strategies, such as agile methodologies, prioritization techniques, and tools you use (e.g., JIRA). Emphasize your ability to stay flexible while delivering consistent results.

Reflect on Visa's reputation as a leader in the payment industry and express your enthusiasm for contributing to innovative data solutions. Mention how your skills align with their mission and your desire for a collaborative work environment.