Data Engineer - Sr. Consultant level - job 12 of 19

As a Data Engineer - Sr. Consultant at Visa Technology & Operations LLC, you will be responsible for designing and enhancing fraud detection solutions in an agile environment, collaborating with cross-functional teams to ensure high-quality delivery of data-driven solutions. Your role will encompass understanding business problems, leading development efforts, mentoring junior staff, and continuously seeking opportunities to optimize data processes.

To be considered for the Data Engineer - Sr. Consultant position at Visa Technology & Operations LLC, candidates typically should have a strong background in data engineering with proficiency in programming languages such as Python or Java. Familiarity with data modeling, analytics tools, and experience working in agile environments are crucial. Additionally, previous mentoring experience and strong problem-solving skills are beneficial.

The Data Engineer - Sr. Consultant plays a pivotal role at Visa by designing and building next-generation fraud detection solutions. Your technical expertise in formulating data strategies will directly support the analysis of fraud patterns, enabling Visa to enhance its security measures and protect its users effectively.

While the Data Engineer - Sr. Consultant position is primarily based in Austin, TX, there may be provisions for partial telecommuting, providing flexibility to balance work and personal commitments. This option allows you to engage with your team effectively while also enjoying the benefits of remote work.

At Visa Technology & Operations LLC, Data Engineers - Sr. Consultants have ample opportunities for professional growth. You will mentor junior team members, lead important projects, and engage in ongoing training to stay ahead in the rapidly evolving tech landscape. This role not only allows for skill enhancement but also promotes involvement in high-impact decision-making processes.

When answering this question, focus on the specific tools you've used, such as SQL, Spark, or data pipeline tools. Highlight projects where you successfully implemented these technologies and the results achieved.

Discuss your strategies for maintaining data integrity, such as implementing validation checks, conducting regular audits, and the importance of collaborating with stakeholders to understand data needs.

Provide a structured approach to problem-solving, emphasizing analytical thinking, collaborative discussions, and iterative testing. Share a specific example where you successfully navigated a challenging data issue.

Share specific experiences that demonstrate your role in designing or implementing fraud detection solutions, focusing on the methodologies used and the impact of your contributions.

Discuss your mentoring style, providing insights into how you assess individual needs and tailor your guidance. Highlight positive outcomes resulting from your mentoring efforts.

Explain your time management strategies, prioritization techniques, and how you communicate with your team to ensure that everyone is aligned on deliverables and timelines.

Talk about your familiarity with various data modeling methodologies, such as Entity-Relationship Modeling or Dimensional Modeling, and the scenarios where you've applied them.

Choose a project where you had a significant impact, detailing your role, the challenges faced, and how the final implementation benefited the organization.

Mention various resources you use for staying informed, such as webinars, workshops, industry publications, and how continuous learning contributes to your effectiveness as a Data Engineer.

Discuss both technical and soft skills required for the role, such as programming proficiency, data pipeline design, communication, and leadership skills. Emphasize how each contributes to project success.