Sr. Data Engineer - job 17 of 29

As a Sr. Data Engineer at Visa Technology & Operations LLC, you will be responsible for performing data engineering activities using Hadoop and the Greenplum Data Warehouse (GPDB) ecosystem, handling large data sets, and building programs that leverage Massively Parallel Processing (MPP) platforms. Your role includes loading data from disparate sources, conducting performance testing, and debugging applications, while also ensuring compliance with security requirements in an evolving threat landscape.

To pursue the Sr. Data Engineer position at Visa Technology & Operations LLC, candidates typically need a strong background in data engineering, with hands-on experience in Hadoop and Greenplum. Proficiency in big data technologies, programming skills, and familiarity with security compliance are essential. A degree in Computer Science, Engineering, or a related field is often preferred to succeed in this role.

A typical day for a Sr. Data Engineer at Visa Technology & Operations LLC involves engaging in various data engineering tasks, collaborating with team members, analyzing data requirements, and developing solutions using Hadoop and GPDB. You may also participate in project meetings, troubleshoot issues, and ensure data integrity and security compliance as you handle complex data loads and streamline workflows.

Visa Technology & Operations LLC is dedicated to supporting career growth for its Sr. Data Engineers through ongoing training and development programs, mentorship opportunities, and exposure to innovative projects. Employees are encouraged to share their ideas and contribute to team discussions, fostering an environment where professional advancement and personal development go hand in hand.

Yes, the Sr. Data Engineer role at Visa Technology & Operations LLC allows for partial telecommuting. This flexibility enables team members to enjoy a balance between personal life and work responsibilities while contributing to crucial projects and initiatives from anywhere, ensuring productivity and commitment to the company's mission.

When answering this question, highlight specific projects where you utilized Hadoop and Greenplum. Discuss the challenges you faced, how you overcame them, and any optimization techniques you employed to enhance data processing. This will demonstrate your hands-on experience and problem-solving skills.

To effectively handle data quality issues, you should discuss methods such as data validation, cleansing techniques, and monitoring for errors. Share examples of tools you’ve used in the past to maintain data integrity, illustrating your proactive approach to ensuring high-quality datasets.

You should cover specific techniques you apply for performance testing, such as load testing and stress testing. Discuss tools like Apache JMeter or Profiling tools you have used for debugging. Provide clear examples of how your actions resolved past performance issues, showing your results-oriented mindset.

When discussing communication in a team, emphasize your experience with various collaboration tools like Slack, Jira, or Confluence. Explain how you keep your team informed about your progress and challenges, showcasing your teamwork and interpersonal skills that help enhance team dynamics.

You can discuss your commitment to continuous learning, whether through online courses, workshops, or industry conferences. Describe how you actively seek out the latest trends and update your skills, ensuring you remain at the forefront of technological advancements in data engineering.

Explain your approach to task prioritization, perhaps using methods like Agile or Kanban. Provide examples of how you assess the urgency and impact of tasks, ensuring deadlines are met effectively while maintaining high-quality standards in your work.

Be prepared to detail a specific data project, discussing your responsibilities, the technology stack used, and the results achieved. Focus on your contributions and how they added value to the project, illustrating your technical expertise and problem-solving capabilities.

Discuss specific compliance standards you've worked with, such as GDPR or HIPAA, and how you've ensured adherence in your data engineering projects. Explain the protocols you implemented to protect data, which will show your awareness of the regulatory landscape and your commitment to security.

When addressing this question, discuss your strategies for data integration, such as ETL processes or using data pipelines. Mention specific tools or frameworks like Apache NiFi or Talend that facilitate data loading, demonstrating your understanding of the technical landscape.

Your answer should reflect the critical position data engineers hold in driving data-driven decisions within a company. Articulate how their work enables insights, informs strategy, and supports operational efficiency, underscoring the importance of the Sr. Data Engineer role.