Data Engineer -Sr Consultant-Data Serving - job 2 of 21

As a Data Engineer - Sr Consultant at Visa, you will take charge of designing and implementing scalable and reliable data solutions. You'll lead a team in delivering high-quality outcomes while promoting an agile development culture. Additionally, mentorship will be crucial as you'll guide fellow engineers in technical matters and best practices. You’ll collaborate with global teams on projects related to Risk and Identity, ensuring seamless and efficient operations.

To qualify for the Data Engineer - Sr Consultant position at Visa, you should possess substantial technical experience in data engineering, especially in building solutions that focus on user needs. A solid understanding of scalable architectures, programming skills, and a passion for mentoring others are essential. Experience working in fast-paced and dynamic environments is highly valued, as is a collaborative mindset to support team initiatives.

The Data Engineer - Sr Consultant role at Visa typically involves a variety of technologies for data processing and analysis. Familiarity with big data tools, cloud platforms, and programming languages such as Python or Java is often required. Experience with databases and data warehouses, along with a solid understanding of software development best practices, is critical for success in this role.

At Visa, the Data Engineer - Sr Consultant position is designed to encourage a collaborative and innovative work environment. As a hybrid role, you can expect a mix of remote work and in-office days, promoting both flexibility and teamwork. Visa fosters a culture of continuous learning and iteration, where employees are encouraged to share knowledge, drive innovations, and contribute to a positive atmosphere.

As a Data Engineer - Sr Consultant at Visa, your contributions will be pivotal in harnessing the power of data to enhance understanding and decision-making at scale. By developing secure and robust data solutions, you will directly support Visa’s mission to enable the digital future of payments—ensuring safety, efficiency, and clarity in financial transactions for consumers and businesses alike.

When answering, highlight specific tools you've used, such as Apache Spark, Hadoop, or cloud platforms like AWS or Azure. Discuss your hands-on experience with these technologies, including any projects where you successfully implemented solutions or improved processes.

Prepare to articulate the problem clearly, the analysis you conducted, and the solution you implemented. Focus on your thought process, the technologies you used, and the outcome of your solution. Highlight collaboration if you worked with others on the resolution.

Talk about your approach to coding standards, testing, and review processes. Discuss any tools you use for automated testing, code reviews, and performance monitoring, emphasizing your commitment to producing high-quality and maintainable code.

Mention reading industry blogs, attending conferences, or participating in online forums and communities. Highlight any specific courses or certifications you are pursuing to enhance your knowledge and skills in data engineering.

Discuss how you value sharing knowledge and empowering team members. Provide examples of mentoring experiences where you've guided others through coding challenges or project development, showing your investment in their growth.

Explain your planning process, use of project management tools, and any methodologies you employ (like Agile or Scrum). Illustrate with real examples that demonstrate your ability to keep projects moving forward efficiently while adapting to changes.

Provide specific instances where you’ve identified bottlenecks in data workflows and the actions you took to enhance performance, such as refactoring code, tweaking algorithms, or improving data pipelines.

Emphasize your communication skills and adaptability. Share how you collaborate with other departments, such as product management or operations, to understand their data needs and ensure alignment in project goals.

Discuss aspects like architecture design, selecting the right technologies, storage considerations, security elements, and the importance of performance tuning. Focus on your insights and practices from past experiences.

Express your admiration for Visa’s commitment to innovation and data-driven decision-making. Share personal motivations that align with Visa’s values, especially regarding enhancing the digital payments experience and tackling global challenges within the financial sector.