Sr. Data Engineer - job 11 of 29

As a Sr. Data Engineer at Visa Technology & Operations LLC, you will engage in a variety of responsibilities including performing data engineering activities on Hadoop and Greenplum data warehouse ecosystems. You'll work with large datasets and create robust programs that utilize Massively Parallel Processing (MPP) Data Warehouse platforms. Additionally, you're responsible for loading data from disparate datasets, documenting processes, and conducting performance testing, all while addressing IT security requirements.

To be successful as a Sr. Data Engineer at Visa Technology & Operations LLC, candidates typically require a strong background in data engineering, experience with Hadoop and Greenplum ecosystems, and knowledge of Big Data technologies. A degree in computer science, engineering, or a related field is often preferred, along with proficiency in performance testing and debugging applications to navigate the complexities of the data landscape.

Visa Technology & Operations LLC places a strong emphasis on security, especially in the role of a Sr. Data Engineer. You will be expected to respond to the evolving threat landscape by adhering to regulatory compliance and IT security protocols. An essential part of your job will be managing long-term retention for security system logs, ensuring that data integrity and security are maintained to protect sensitive information.

At Visa Technology & Operations LLC, a Sr. Data Engineer can anticipate a collaborative and innovative work environment. The company promotes teamwork and encourages idea-sharing among department members, allowing for growth and creativity. The Austin office offers a dynamic space, and there are options for partial telecommuting, balancing both collaborative in-person meetings and the flexibility of working from home.

A Sr. Data Engineer at Visa Technology & Operations LLC should have experience working with technologies such as Hadoop and the Greenplum Data Warehouse (GPDB) ecosystem. Familiarity with Big Data tools and Massively Parallel Processing (MPP) architectures will be crucial. Additionally, understanding data loading processes, performance testing, and debugging practices will round out the technical expertise needed for this role.

In preparing for this interview, discuss specific projects where you've utilized Hadoop and Greenplum. Highlight your proficiency with data processing on these platforms and any performance optimizations you've implemented. Be sure to connect your experiences to how they align with the responsibilities of the Sr. Data Engineer position.

When discussing data integrity, emphasize processes you've employed to validate and clean data before loading. Mention the tools and techniques you use during the ETL (Extract, Transform, Load) process to maintain accuracy and consistency, reflecting the standards expected at Visa Technology & Operations LLC.

In your response, provide an overview of your approach to performance testing, including key performance indicators you track and testing tools you use. Share an example of how your strategies have improved an application's responsiveness or efficiency, which would resonate with the Sr. Data Engineer role.

Describe your commitment to continuous learning. Mention resources such as industry blogs, forums, conferences, or online courses you follow. Highlight how staying informed on data engineering trends not only benefits your career but also enhances your contributions to the team at Visa.

For this question, recount a specific situation where team collaboration was key to troubleshooting and resolving a data-related issue. Focus on your role in facilitating communication and brainstorming solutions, highlighting how these skills are crucial for the culture at Visa Technology & Operations LLC.

Explain specific methodologies or best practices you implement to ensure data security, particularly in response to regulatory compliance. Reference security measures tailored for data handling, showcasing your alignment with Visa's commitment to secure practices in your work as a Sr. Data Engineer.

Describe a challenge related to scalability, data loading speeds, or data quality. Explain how you approached the problem, the technical solutions you devised, and what you learned from the experience that would be relevant in your role at Visa Technology & Operations LLC.

Discuss your methods for task management, highlighting prioritization techniques like the Eisenhower Matrix or agile methodologies. Provide an example of how effective prioritization led to successful project outcomes, demonstrating your organizational skills within the dynamic environment at Visa.

For this question, provide insight into your debugging processes. Discuss specific tools and techniques you utilize for debugging in data applications and share a success story that emphasizes your problem-solving skills, which are essential for a Sr. Data Engineer at Visa.

Share your philosophy on receiving feedback, emphasizing openness and the importance of constructive criticism. Illustrate how you've used feedback to improve your data projects in the past, making it clear that you value collaboration and continuous improvement within Visa's team culture.