Data Engineer Sr Consultant-Big Data, Spark, Scala, Kafka 10+yrs

As a Data Engineer Sr Consultant at Visa, you'll be involved in designing, architecting, and developing data solutions within the Data as a Service (DaaS) organization. You will lead a scrum team, ensuring engineering excellence and collaborating with stakeholders and product owners to create innovative data-driven business solutions.

Visa requires candidates to have a Bachelor’s or Master’s Degree in Computer Science or related fields, alongside 8-11 years of relevant work experience. A strong background in building large-scale data solutions using technologies like Hadoop, Spark, Kafka, and expertise in programming languages such as Java, Scala, or Python are also essential for this role.

A Data Engineer at Visa should have hands-on experience with various big data technologies, including Hadoop, Spark, Hive, and Kafka. Familiarity with additional tools such as Docker, Kubernetes, and Continuous Integration tools like Jenkins will enhance your capability in delivering data solutions.

Yes! The Data Engineer Sr Consultant position at Visa is a hybrid role, allowing for flexibility in your work schedule. The specific expectation of days in the office will be confirmed by your hiring manager, providing a balance between in-office collaboration and remote work.

In addition to strong technical skills in big data technologies, having experience with data visualization and business intelligence tools such as Power BI can enhance your profile. Understanding Continuous Integration processes and having skills with Docker and Kubernetes are also advantageous.

When answering this question, focus on specific projects where you implemented Spark. Discuss the challenges faced, how you optimized performance, and the impact your solutions had on the business. Highlight your understanding of Spark's architecture and its benefits in big data processing.

Explain your methodology for data modeling, from gathering requirements to designing schemas. Discuss the importance of considering scalability and performance, and provide examples of data models you've created in previous roles, emphasizing any innovative approaches you took.

Choose a specific challenge, such as data inconsistency or performance bottlenecks. Clearly outline the steps you took to diagnose the issue, the solutions you implemented, and how you measured success. This demonstrates your problem-solving skills and your systematic approach.

Discuss your performance with both SQL (like DB2, MS SQL, MySQL) and NoSQL databases. Talk about scenarios where you've chosen one over the other based on project requirements, and share insights on your experiences optimizing query performance in both types of databases.

Emphasize your commitment to code reviews, best practices, and continuous integration. Explain how you advocate for testing and documentation, and discuss examples where you’ve implemented processes that lead to improved code quality and teamwork.

If applicable, detail your experience with tools like Power BI or other visualization platforms. Talk about how you've used these tools to effectively communicate data insights, providing example use cases where visualizations had a significant impact on decision-making.

Discuss your experience working with distributed data processing frameworks and how you optimize data flow. Mention techniques like partitioning, bucketing, or indexing that you’ve employed to manage large datasets effectively.

Share your strategies for continuous learning, such as online courses, attending industry conferences, or following thought leaders. Discuss specific technologies or frameworks you've explored recently and how they could benefit your work at Visa.

Highlight your communication skills and how you manage expectations. Discuss strategies you use to gather requirements, provide Updates, and ensure that the final product meets the stakeholders' needs, emphasizing your ability to listen and adapt to feedback.

Discuss your experience working in Agile environments, including your role in scrum teams. Talk about how Agile principles have improved your workflow and project delivery, and share examples of how you've incorporated Agile practices into your previous roles.