Data Engineer - Sr. Consultant level- Core Data Assets - job 2 of 21

The Data Engineer - Sr. Consultant at Visa has a diverse set of responsibilities, including designing and executing comprehensive data pipeline solutions, developing synthetic data engines, and ensuring data quality through validation processes. This role also involves collaborating with product delivery teams to implement new products and providing technical leadership across projects while championing innovation within the technology space.

To qualify for the Data Engineer - Sr. Consultant position at Visa, candidates typically need a strong background in data engineering, experience with coding and data modeling, and an understanding of AI and data science models. Familiarity with data processing frameworks and tools, along with a demonstrated ability to work collaboratively in hybrid environments, will also be expected to meet the demands of this key role.

A successful Data Engineer - Sr. Consultant at Visa should possess strong programming skills, deep knowledge of data architecture design, and expertise in data validation and cleaning techniques. Additionally, skills in developing AI models, presenting technical concepts in business language, and providing strategic leadership in data engineering projects are essential for thriving at Visa.

Visa's hybrid work model for Data Engineers blends remote work with in-office presence. Employees are expected to work from the office 2-3 days a week, determined by leadership, with a general expectation to maintain at least 50% of their working time in the office. This setup allows for collaborative engagement while also providing the flexibility to work from home.

The Data Engineer - Sr. Consultant at Visa plays a critical role in the company’s innovation initiatives by developing and enhancing data assets that fuel AI-driven solutions and data analytics. By designing robust data models and leading technical efforts, this position not only supports data-driven decision-making processes but also positions Visa as a leader in the digital payment industry.

When answering this question, focus on specific projects where you designed data pipelines, detailing the technologies used, the challenges faced, and how you overcame them. Highlight the importance of data quality and efficiency in your designs.

Discuss the various techniques you employ for ensuring data quality, such as validation, cleansing, and enrichment processes. Provide examples of successful implementations and how they improved the data assets.

You should mention specific tools and technologies relevant to data modeling such as SQL databases, ETL tools, and any industry-specific platforms. Be ready to explain why you chose these tools and how they helped you achieve your goals.

Illustrate your experience with processing and managing large datasets, describing strategies like data partitioning, parallel processing, or using distributed computing frameworks. Mention any tools or technologies that aided you in this task.

Prepare a coherent narrative that outlines your leadership role in a data engineering project, specifying your responsibilities, team collaboration, obstacles, and the impact of the project on the organization.

Detail the resources you use to stay informed about the industry, such as online courses, webinars, conferences, or articles. Show how continuous learning has impacted your work and innovation mindset.

Talk about your adaptability in working both remotely and in the office, providing examples of how you've maintained productivity while collaborating with team members in different settings.

Highlight your approach to simplifying technical concepts by using relatable terms and focusing on business impacts. Provide an example where you successfully communicated a complex solution.

Discuss specific strategies and tools you use for deploying machine learning models and how you monitor their performance over time, including aspects like model retraining and feature management.

Reflect on what specifically draws you to Visa, including the company's focus on innovation, the role's responsibilities, and how your skills align with Visa's mission. Demonstrate your enthusiasm for contributing to the digital payment industry.