Staff Data Engineer (Trino/Presto/Hive/Spark/Tez Committers or Contributors)

As a Staff Data Engineer at Visa, you will lead enhancements for open-source platforms, manage large-scale data processing solutions, and mentor junior engineers. Your key responsibilities will include designing and developing scalable data pipelines, ensuring code quality, and collaborating with cross-functional teams to innovate and improve Visa’s technology assets.

To qualify for the Staff Data Engineer role at Visa, you should have at least 7 years of experience in data engineering or relevant fields, with a Bachelor’s or advanced degree in Computer Science or a related discipline. Proficiency in programming languages like Java or Python and experience with big data platforms such as Trino, Hive, and Spark are essential.

Absolutely! At Visa, we prioritize growth and development. As a Staff Data Engineer, you'll have numerous opportunities to enhance your skills, work with cutting-edge technology, and advance into leadership roles within the Data Platform department or other areas of the company.

The work environment at Visa is dynamic and collaborative. As a Staff Data Engineer, you’ll be part of a supportive team focused on innovation and excellence. With a hybrid work model, you can enjoy flexibility while also engaging in productive in-office collaboration with colleagues.

In the Staff Data Engineer role at Visa, you will work with a range of big data technologies, including Trino, Presto, Hive, Spark, and Tez. You'll also be involved in building cloud data stacks and enhancing open-source platforms, giving you the chance to engage with cutting-edge solutions in the tech industry.

Prepare to discuss specific projects where you have used technologies like Trino, Presto, or Spark. Highlight your role in designing and implementing those solutions and underscore any measurable results or improvements you achieved.

Demonstrate your understanding of best practices in coding standards, code reviews, and unit testing. Discuss tools and methodologies you use to maintain code quality and how you handle bugs and technical debt.

Choose a specific problem and explain the context, your approach to solving it, and the outcome. Focus on how you utilized your technical skills and collaborated with team members to find a solution.

Discuss your familiarity with cloud platforms and how you have leveraged them for data engineering projects. Be ready to mention specific tools or services you have utilized, such as AWS, Google Cloud, or Azure.

Share your philosophy on mentoring and your past experiences in guiding others. Highlight your ability to support junior engineers in developing their skills while fostering a collaborative and positive team environment.

Identify the programming languages you are proficient in, particularly Java or Python as relevant to the position. Highlight any specific projects where you used these languages to solve data engineering problems.

Explain your experience with performance tuning, best practices for data modeling, and ensuring efficient data flow. Share examples from previous projects where you've made significant optimizations.

Discuss your methods for continual learning, such as following industry blogs, participating in online courses, or engaging with the data engineering community through meetups and conferences.

Be prepared to detail any contributions you've made to open-source big data technologies. Discuss the projects, your specific contributions, and what you learned from the experience.

Reflect on Visa’s mission and values, and relate them to your personal career goals. Emphasize your enthusiasm for working with cutting-edge technology and making a meaningful impact in the payments industry.