Data Engineer - Sr. Consultant level - job 3 of 19

As a Data Engineer - Sr. Consultant at Visa Technology & Operations LLC, your core responsibilities include designing and enhancing fraud detection solutions, collaborating with cross-functional teams to implement new data-driven business solutions, managing the end-to-end development process, and mentoring junior team members. You'll also focus on developing architectures and ensuring that all solutions meet business expectations while adhering to compliance standards.

Candidates for the Data Engineer - Sr. Consultant position at Visa Technology & Operations LLC should possess a strong background in data engineering, data modeling, and software development, along with experience in agile methodologies. A degree in computer science, engineering, or a related field is typically required, along with proficiency in various programming languages and data processing frameworks.

At Visa Technology & Operations LLC in Austin, Data Engineers - Sr. Consultants enjoy a collaborative and fast-paced work environment with access to modern tools and technologies. The role promotes an agile methodology, enabling team members to contribute to innovative projects while having the flexibility to work partially remotely, ensuring a positive work-life balance.

As a Data Engineer - Sr. Consultant at Visa Technology & Operations LLC, you will engage in diverse projects ranging from developing fraud detection systems to implementing scalable data solutions for business users. The role provides opportunities to automate analyses and build self-service tools while ensuring project delivery aligns with timelines and budget requirements.

Visa Technology & Operations LLC fosters a culture of continuous learning and professional development for Data Engineers - Sr. Consultants. Opportunities such as mentorship programs, collaboration with experienced team members, and the chance to lead projects enable individuals to enhance their skills, stay updated on industry trends, and advance their careers.

When responding to this question, outline a specific project where you designed a data pipeline. Discuss the technologies used, the challenges faced, and how you ensured data quality throughout the process. Highlight your understanding of both batch and real-time processing, which is crucial for a Data Engineer - Sr. Consultant role.

To answer this question effectively, discuss your time management strategies, prioritization techniques, and the importance of communication with your team. You might provide an example of a previous experience where you successfully managed competing timelines while delivering quality results.

Clarify the critical nature of collaboration in your projects as a Data Engineer - Sr. Consultant. Provide examples of how you've worked with team members from different functions, like Product Managers or Architects, to ensure successful project outcomes, leveraging their insights and expertise.

Discuss your approach to understanding business requirements through stakeholder engagement. Explain any frameworks or methodologies you use to translate business problems into technical specifications, and how you validate that the developed solutions align with business objectives.

Provide a detailed anecdote about a data governance challenge you faced—perhaps involving data quality or compliance. Focus on the steps you took to resolve the issue, the collaboration involved, and the lessons learned that could apply to future situations.

Be prepared to discuss your favorite tools for data modeling (like ERwin, Microsoft Visio, or similar). Explain why you prefer these tools, how they enhance your workflow, and give examples of projects where they played a key role in your data engineering tasks.

Mention your strategies for staying informed about industry trends, such as following influential data engineering blogs, participating in relevant webinars or conferences, and engaging with professional organizations. Emphasize your commitment to continuous learning as a Data Engineer - Sr. Consultant.

For this question, refer to specific cloud technologies (like AWS, Azure, or Google Cloud) that you have worked with. Provide examples of types of cloud solutions you've built or contributed to, as well as the benefits of using cloud technology in your data engineering efforts.

Discuss the metrics and KPIs you typically use to assess the performance of data solutions. Include strategies for adjusting solutions based on performance data and how you ensure adherence to Service Level Agreements as a Data Engineer - Sr. Consultant.

Share your philosophy on mentoring, including your techniques for providing constructive feedback and encouragement. Provide an example of how you've helped junior team members understand complex concepts or improve their skills in previous roles.