Sr. Data Engineer - job 13 of 26

The Sr. Data Engineer at Visa Technology & Operations LLC primarily focuses on performing data engineering activities within the Hadoop and Greenplum Data warehouse (GPDB) ecosystem. This role involves working with massive datasets, building applications that leverage Massively Parallel Processing (MPP) Data warehouse platforms, and employing Big Data technologies. Additionally, you'll document processes, debug applications, and manage data retention for security logs while ensuring compliance with IT security and regulatory standards.

To be considered for the Sr. Data Engineer position at Visa Technology & Operations LLC, candidates should possess a strong background in data engineering, experience with Hadoop and Greenplum Data warehouse (GPDB) systems, and familiarity with Big Data tools. A degree in computer science, engineering, or a related field is often preferred, along with solid programming skills in languages such as Java or Python. Proven experience working with large data sets and understanding data architecture is also crucial to succeed in this role.

Yes, the Sr. Data Engineer position at Visa Technology & Operations LLC offers partial telecommuting options. While the role is primarily based in the Austin, TX office, flexible working arrangements allow for some remote work, enabling better work-life balance and adaptability for the team's members.

In the Sr. Data Engineer role at Visa Technology & Operations LLC, you will play a critical part in IT security by managing long-term retention for security system logs and security sensor logs. This responsibility ensures that the organization complies with regulatory requirements while safeguarding sensitive information. By staying responsive to the evolving threat landscape and implementing best practices in technology architecture, you'll directly contribute to enhancing the overall security posture of the organization.

Sr. Data Engineers at Visa Technology & Operations LLC utilize a variety of tools and technologies, including Hadoop, Greenplum Data warehouse (GPDB), and other Big Data technologies to perform data engineering tasks. You will also engage with Massively Parallel Processing (MPP) Data warehouse platforms, leveraging modern data processing tools to build applications that handle and analyze large datasets efficiently.

In your response, share specific projects where you've utilized Hadoop or Greenplum, detailing your role in optimizing their performance. Highlight any challenges you faced and how you overcame them. This demonstrates your hands-on experience and problem-solving abilities.

Discuss your systematic approach to debugging, including techniques you employ to identify issues, tools you use, and how you validate that the problem has been resolved. Providing a specific example will help illustrate your methodical process.

Talk about your experience with data partitioning, indexing, and using efficient query methods to manage and analyze large datasets effectively. This shows your capability for optimizing performance while working with extensive data collections.

Explain how Massively Parallel Processing allows for the simultaneous processing of large datasets across multiple processors. Discuss the benefits, such as improved speed and efficiency when analyzing data, and include any relevant experiences you have with this technology.

Outline your methods for implementing data validation, access controls, and regular audits to ensure data integrity and security. Describe any specific experiences that highlight how you’ve successfully safeguarded sensitive data.

Mention specific testing tools you’ve used, discussing your experiences with them. Focus on how these tools helped you improve the performance of data engineering solutions and any significant outcomes from your testing efforts.

Share an example of a collaborative data engineering project, focusing on your role and contributions to overcoming challenges. Highlight communication skills and how teamwork led to a successful outcome.

Discuss your commitment to continuous learning, mentioning sources you rely on such as online courses, industry conferences, or networking with professionals in the field. This shows your dedication to staying updated and improving your expertise.

Describe your preferred documentation tools and practices, emphasizing the importance of clarity and accessibility for others who may utilize your documentation. Providing specific examples of your documentation efforts will strengthen your answer.

Articulate your interest in the mission of Visa Technology & Operations LLC and how it aligns with your career aspirations. Discuss what excites you about the role and the company, highlighting any unique aspects of their projects that appeal to you.