Sr. Data Engineer - job 19 of 29

As a Sr. Data Engineer at Visa Technology & Operations LLC, you will focus on performing data engineering activities within the Hadoop and Greenplum Data Warehouse ecosystem. This includes processing large data sets, developing programs that utilize Massively Parallel Processing (MPP), and collaborating with a team to share ideas and solutions. Your role will also involve loading data from various sources, documenting processes, and conducting performance testing to ensure optimal application functionality.

To qualify for the Sr. Data Engineer position at Visa Technology & Operations LLC, candidates should possess a strong background in data engineering, especially with technologies such as Hadoop and Greenplum. Experience with Big Data tools, programming languages, and a keen understanding of MPP Data warehouse platforms are critical. Additionally, familiarity with regulatory compliance and IT security standards is essential to succeed in this role.

At Visa Technology & Operations LLC, security and compliance are top priorities for the Sr. Data Engineer role. You will be actively managing the long-term retention of security system logs and addressing the evolving threat landscape. This means you’ll be leveraging your technical expertise to ensure that all processes meet regulatory requirements while maintaining robust data integrity and security protocols.

A successful Sr. Data Engineer at Visa Technology & Operations LLC should have exceptional skills in data engineering practices, with proficiency in Hadoop and Greenplum Data Warehouse. Strong analytical skills, problem-solving abilities, and experience with Big Data technologies are essential. In addition, effective communication skills are crucial for collaborating within a team and representing your team during project meetings.

Yes, there is potential for partial telecommuting in the Sr. Data Engineer position at Visa Technology & Operations LLC. While your primary workspace will be based in Austin, TX, the company recognizes the importance of work-life balance and offers opportunities for flexible work arrangements depending on project needs.

When answering this question, highlight specific projects where you utilized Hadoop and Greenplum Data Warehouse. Discuss your role in data processing, the challenges you faced, and how you overcame them. This showcases your hands-on experience and technical expertise.

Prepare to discuss Massively Parallel Processing (MPP) by explaining its significance in handling large data sets. Illustrate its architecture, and how it allows for simultaneous processing, which drastically boosts performance. Providing examples of implementation would strengthen your answer.

When asked about data integrity, elaborate on strategies and best practices you follow, such as data validation techniques, consistent documentation, and thorough testing. Emphasize the importance of accuracy and compliance with regulatory standards.

Use the STAR method (Situation, Task, Action, Result) to convey your troubleshooting experience. Detail the specific data issue, what tasks you undertook to diagnose the problem, the action you implemented, and the positive outcome that followed.

Discuss your collaborative approach, including communication strategies you employ to ensure the team is aligned. Share an experience where teamwork resulted in improved outcomes, highlighting your role in facilitating a productive team dynamic.

List specific Big Data tools you have experience with, such as Apache Spark, Kafka, or Hive. Elaborate on how you've utilized these tools to manage and analyze large data sets, illustrating your comprehensive knowledge of the Big Data ecosystem.

Mention resources such as industry blogs, online courses, webinars, and professional groups you follow. Illustrating your commitment to continuous learning not only shows your passion for data engineering but also your desire to stay at the forefront of the industry.

Be prepared to discuss your proficiency in programming languages relevant to data engineering, such as Python, Java, or SQL. Provide examples of how you've used these languages in past projects and the specific tasks they helped you accomplish efficiently.

Illustrate your ability to prioritize by discussing a specific situation where you faced conflicting priorities. Explain your decision-making process and how you communicated with stakeholders to manage expectations effectively.

Your response can touch on various aspects such as data security, privacy concerns, or the rapid evolution of Big Data technologies. Discuss your thoughts on how these challenges can be addressed, showing your industry insight and forward-thinking approach.