Sr. Data Engineer - job 10 of 29

As a Sr. Data Engineer at Visa Technology & Operations LLC, your role will encompass several key responsibilities including performing data engineering activities on Hadoop and the Greenplum Data Warehouse (GPDB) ecosystem. You will handle large datasets, leveraging Massively Parallel Processing (MPP) Data warehouse platforms to build efficient programs. Additionally, you will load data from various sources, conduct performance testing, and debug applications. Adapting to regulatory compliance and IT security requirements is another critical component of this position, as is effectively representing your team during project meetings.

To be considered for the Sr. Data Engineer position at Visa Technology & Operations LLC, candidates typically need a strong background in data engineering, including experience with Hadoop, Greenplum Data Warehouse (GPDB), and handling large data sets. A solid understanding of Big Data technologies and tools is essential, along with familiarity in performance testing and debugging applications. Furthermore, a degree in Computer Science, Information Technology, or a related field is often required, along with relevant work experience in a similar role.

Yes, the Sr. Data Engineer role at Visa Technology & Operations LLC allows for partial telecommuting. While the position reports to the Austin, TX office, the flexibility to work from home can help you maintain a healthy work-life balance while still being an integral part of the team.

The key skills necessary for the Sr. Data Engineer role at Visa Technology & Operations LLC include proficiency in data engineering platforms such as Hadoop and Greenplum Data Warehouse (GPDB). A strong understanding of working with large datasets, as well as experience with Massively Parallel Processing (MPP) Data warehouse platforms, is crucial. Additionally, you should be comfortable with data loading practices, performance testing, and debugging. Communication skills are also important, as you'll be representing your team in project discussions.

As a Sr. Data Engineer at Visa Technology & Operations LLC, you might work on various projects that involve developing data engineering solutions for processing large and complex datasets. Projects could include enhancing data integration processes, building scalable data pipelines, improving data quality and governance, and ensuring robust data security practices. Collaboration with cross-functional teams to support the evolving needs of the organization is also a significant part of the role.

When responding to this question, it's crucial to showcase your depth of experience with both Hadoop and Greenplum Data Warehouse (GPDB). Be specific about the projects you've worked on, the datasets you handled, and the outcomes achieved. Highlight any innovative approaches you took to solve challenges or boost performance.

To address this question, discuss techniques you've utilized to maintain data quality, such as validating data during loading processes, performing regular audits, and using profiling tools. Provide examples of situations where you identified and rectified data quality issues in previous roles.

For this question, narrate a specific instance where you faced a significant bug during data processing. Focus on the steps you took to diagnose the problem, the tools you used, and the ultimate resolution. Emphasize your problem-solving skills and ability to work under pressure.

In your answer, specify the big data tools you have experience with, such as Apache Spark, Hive, or Kafka. Share concrete examples of how you've applied these tools in projects, including any measurable results achieved. This will showcase your technical knowledge and hands-on experience in the field.

Discuss your commitment to continuous learning in data engineering. Mention specific resources you utilize, such as online courses, blogs, webinars, and professional groups. Highlight any relevant certifications you've completed and how they've contributed to your knowledge and skills.

Share specific examples of successful collaboration experiences. Focus on how you communicate project needs, celebrate milestones, and address conflicts or misunderstandings constructively. Stress your belief in the importance of clear communication and teamwork in achieving project goals.

When answering this question, outline your understanding of data security protocols applicable to the role, such as encryption and access controls. Provide examples of how you've previously ensured compliance with regulations while managing sensitive data, which shows your attention to legal and ethical responsibilities.

Showcase your organizational skills by explaining your process for prioritizing tasks. Discuss how you assess deadlines, project importance, and dependencies, and share any tools or techniques (like agile methodologies or Kanban boards) you use to manage your workload efficiently.

Outline your approach to testing and debugging data pipelines, including unit tests, integration tests, and the use of monitoring tools. Providing examples of successful debugging processes can add depth to your answer and demonstrate your attention to detail.

Reflect on your passion for data engineering and the aspects of the role that excite you the most. It could be problem-solving challenges, the opportunity to work with cutting-edge technology, or contributing to data-driven decision-making processes. Personalizing your answer will highlight your enthusiasm for the position.