Sr. Data Engineer - job 24 of 29

As a Sr. Data Engineer at Visa Technology & Operations LLC, your primary responsibilities will include performing data engineering activities within the Hadoop and Greenplum Data Warehouse ecosystem. You will work closely with very large data sets, leveraging Massively Parallel Processing (MPP) Data warehouse platforms. Additionally, your role will involve loading data from various disparate data sources, conducting performance testing, debugging applications, and addressing IT security requirements while ensuring regulatory compliance.

To qualify for the Sr. Data Engineer position at Visa Technology & Operations LLC, candidates typically need a strong background in data engineering, along with experience in working with Hadoop and Greenplum Data Warehouses. Familiarity with Big Data technologies and tools is essential, as well as proficiency in handling various data sets and performance testing. A solid understanding of IT security mandates and experience with long-term retention of security logs will also be beneficial.

Visa Technology & Operations LLC places a strong emphasis on collaboration among its teams. In your role as a Sr. Data Engineer, you will get to share ideas and solutions with fellow team members, fostering an innovative atmosphere that encourages growth. Project meetings provide a platform for you to represent the team and contribute your insights. The company also supports a flexible work arrangement, allowing for a blend of in-office work and telecommuting.

The work environment for a Sr. Data Engineer at Visa Technology & Operations LLC in Austin is dynamic and engaging. You will be part of a forward-thinking team that values creativity and collaboration. The company infrastructure supports cutting-edge technologies, and you will have access to tools necessary for efficient data engineering work. With options for partial telecommuting, the work environment enhances balance and productivity, allowing you to thrive in your role.

The Sr. Data Engineer role at Visa Technology & Operations LLC offers a unique opportunity to work with advanced technologies in a rapidly evolving field. You will gain invaluable experience with Big Data tools and methodologies while collaborating with a team of experts. The position not only focuses on professional growth but also offers a flexible work arrangement, making it attractive to those seeking a better work-life balance. Furthermore, being part of industry-leading Visa Inc. equips you with a strong brand name on your resume.

In responding to this question, highlight specific projects where you utilized Hadoop or Greenplum, including your role, the challenges faced, and the outcomes achieved. Emphasize your familiarity with the ecosystems and the lessons learned regarding scalability and performance.

Discuss your systematic approach to debugging, including the steps you take to identify bottlenecks and optimize processes. Mention specific tools you use for monitoring performance and analyzing logs, and share any instances where your debugging led to significant improvements.

Describe the methods you implement to maintain data integrity, such as validation processes, employing checksum for verification, and regular audits. Your response should reflect a deep understanding of data management principles, emphasizing the importance of quality and accuracy.

Explain your strategies for prioritization, such as using Agile methodologies or setting up Kanban boards. Share examples of how you've effectively managed deadlines while ensuring the quality of your work is not compromised.

Discuss your approach to professional development, including attending webinars, participating in online courses, and following industry publications. Mention any relevant communities or forums you engage with that provide insights into emerging technologies.

If applicable, share details of your experience in handling a data breach. Focus on the steps taken to analyze the breach, mitigate the impact, communicate with stakeholders, and implement changes to prevent future occurrences. Highlight your problem-solving and crisis management abilities.

Detail your previous involvement in data migration projects, including the planning, execution, and post-migration assessments. Discuss the tools and techniques used, as well as any obstacles encountered and how you overcame them.

Explain the compliance frameworks you're familiar with and how you integrate security practices into your data engineering processes. Discuss any audits or compliance checks you've participated in, and highlight your proactive strategy to stay ahead of compliance requirements.

Share a concise narrative of a project where you took a leading role. Describe the objective, your contributions, challenges faced, and the final outcomes. Including metrics or positive feedback will strengthen your response.

List the tools and technologies you've used, such as SQL, Python, Apache Spark, or ETL tools. Discuss your experience with each tool and how it contributes to your data engineering practices.