Sr. Data Engineer - job 16 of 25

As a Sr. Data Engineer at Visa Technology & Operations LLC, your main responsibilities revolve around performing data engineering activities on the Hadoop and Greenplum Data Warehouse ecosystem. You’ll work with large data sets, build programs that utilize Massively Parallel Processing (MPP) platforms, load data from various sources, and manage performance testing and application debugging. Additionally, being responsive to security requirements and representing the team at project meetings are significant aspects of the role.

To be considered for the Sr. Data Engineer position at Visa Technology & Operations LLC, candidates typically need a strong background in data engineering, proficiency in Hadoop, Greenplum, and experience with Big Data technologies. Familiarity with performance testing, data loading from disparate data sets, and an understanding of IT security compliance are also crucial. Generally, a degree in a related field and several years of professional experience in data engineering are expected.

In the role of Sr. Data Engineer at Visa Technology & Operations LLC, you’ll engage with a variety of technologies including Hadoop, Greenplum Data Warehouse (GPDB), and other Big Data technology tools. You will leverage Massively Parallel Processing (MPP) platforms to manage and manipulate large data sets effectively. Staying updated with the latest data engineering trends and tools is encouraged as part of our collaborative environment.

Yes, Visa Technology & Operations LLC offers options for partial telecommuting for the Sr. Data Engineer role. While the position is based in our Austin, TX office, we understand the importance of work-life balance and flexibility, allowing employees to manage their work remotely to some extent.

The team culture at Visa Technology & Operations LLC promotes collaboration and innovation. As a Sr. Data Engineer, you'll be part of a diverse group that values sharing ideas and working together to solve challenges. Regular project meetings and open communication make it easy to connect with colleagues and contribute to team success, creating a supportive environment where everyone can grow.

In answering this question, focus on specific projects where you utilized Hadoop and Greenplum. Discuss the data sets you worked with, any performance optimizations you achieved, and how you ensured data integrity throughout the process. Mention any challenges you faced and how you overcame them, emphasizing your role in leveraging these technologies effectively.

To answer this question, outline your approach to performance testing and debugging. Describe the tools and techniques you use, such as logging, monitoring toolsets, or specific metrics you track. Share an example of how your proactive measures led to significant improvements in application performance awareness or error reduction.

Discuss your familiarity with ETL (Extract, Transform, Load) processes and tools you have used for loading data. Provide examples of specific data sources you have worked with, the challenges you faced in merging data from different systems, and how you ensured the quality and consistency of the loaded data.

Emphasize the importance of continuous learning. Mention any relevant professional groups, forums, courses, or certifications you are part of or pursuing. Talk about how you apply new knowledge and approaches to your work as a Sr. Data Engineer, enhancing your contributions and ensuring best practices.

Discuss the various compliance frameworks or regulations (like GDPR, HIPAA) you are familiar with and how they apply to data engineering practices. Mention processes you follow to maintain data security, how you ensure sensitive information is handled correctly, and your experience with security packages or tools.

Share a specific instance reflecting your communication skills and diplomatic approach in a project meeting. Explain how you represented your team’s interests, conveyed critical information effectively, and collaborated with other teams. Highlight outcomes and feedback, showcasing your ability to advocate for your team.

Focus on your communication strategies, the tools you prefer for collaboration (like Slack, JIRA), and your approach to sharing ideas and best practices. Illustrate how team synergy leads to improved project outcomes and your commitment to being an active team player.

Talk about your adaptability and how you approach change as a data engineer. Define the strategies you use for adjusting to new requirements, such as maintaining close communication with stakeholders, using agile methodologies, and being open to feedback and new ideas.

Highlight essential big data technologies like Spark, Kafka, and NoSQL databases (e.g., MongoDB, Cassandra).Explain why understanding these technologies is critical for a Sr. Data Engineer and how they can complement Hadoop and Greenplum in handling large-scale data effectively.

Detail your knowledge of compliance regulations regarding log retention and any tools or methods you utilize to ensure logs are securely stored and easily accessible when needed. Emphasize the importance of logging in security measures and your experience maintaining logs over time.