Sr. Data Engineer - job 20 of 26

As a Sr. Data Engineer at Visa Technology & Operations LLC, your primary responsibilities include performing data engineering activities within the Hadoop and Greenplum Data Warehouse ecosystem, working with large data sets, and developing programs that leverage MPP Data Warehouse platforms. You will be engaged in loading data from multiple sources, debugging applications, and ensuring compliance with IT security requirements, making your role integral to our data practices.

To qualify for the Sr. Data Engineer role at Visa Technology & Operations LLC, you should possess extensive experience in data engineering, especially with Hadoop and Greenplum. Familiarity with Big Data technologies and tools, as well as a strong understanding of data loading procedures, documentation, and performance testing, are essential. A background in IT security requirements and compliance is also beneficial for this position.

Visa Technology & Operations LLC strongly emphasizes collaboration among its data engineers. In your role as a Sr. Data Engineer, you will work alongside a diverse group of professionals, engaging in collaborative discussions, sharing innovative ideas, and contributing to project outcomes through teamwork, ensuring that each member's expertise is utilized effectively.

As a Sr. Data Engineer at Visa Technology & Operations LLC, you'll be involved in a variety of projects that focus on data management and analysis. This includes working on data integration from disparate sources, developing large-scale data processing solutions using Hadoop and GPDB, and implementing strategies to meet compliance and security requirements. Your work will significantly contribute to enhancing the robustness of our data infrastructure.

Yes, the Sr. Data Engineer position at Visa Technology & Operations LLC allows for partial telecommuting. While this role is based in the Austin office, we understand the importance of work-life balance and offer flexible work arrangements to accommodate our employees' needs.

Certainly! When addressing your experience with Hadoop and Greenplum during your interview for the Sr. Data Engineer role, focus on specific projects where you utilized these technologies. Discuss various applications you've built, challenges faced, and how you overcame them, emphasizing your problem-solving skills and technical expertise.

In your response, explain a structured approach to debugging, highlighting the importance of logging, testing, and monitoring. Provide examples of debugging tools or methodologies you have used and discuss how these strategies have improved performance in past projects.

When discussing data security and compliance, highlight your understanding of regulatory requirements relevant to the industry. Share examples of how you've implemented security measures in past projects and collaboration with IT security teams to ensure all data handling processes are compliant with both internal policies and external regulations.

For this question, outline a specific project that involved handling large data sets. Discuss the challenges you faced, how you designed your data pipelines, the technologies used, and the final outcomes. Emphasize your ability to manage complexity and deliver results despite challenges.

In your response, describe your systematic approach to performance testing. Discuss the metrics you consider, tools you use, and the importance of testing in maintaining efficient data processing pipelines. Providing concrete examples from previous roles can help illustrate your expertise.

Explain your commitment to continual learning and staying current with emerging technologies in data engineering. This might include attending industry conferences, participating in online courses, following relevant blogs or forums, and networking with peers in the field.

In your answer, recount a specific instance where you worked with others on a data engineering project. Highlight your role, the team's dynamics, how you shared ideas, resolved conflicts, and ultimately contributed to the project's success, showcasing your teamwork and communication skills.

Talk about the tools and technologies you believe are vital for a Sr. Data Engineer, focusing on those like Hadoop, Greenplum, SQL, and data visualization tools. Justify your choices based on past experiences and how these tools have driven project success.

This question allows you to demonstrate your interpersonal skills. Discuss strategies you would use to persuade colleagues, such as showcasing benefits, providing training, and facilitating open discussions to understand their concerns, thus promoting a culture of cooperation and innovation.

When asked this question, express your enthusiasm for Visa's mission and the chance to work with cutting-edge technologies. Mention your alignment with the company's values and how you believe your skills will contribute positively to their data initiatives.