SW Engineer (Big Data & Fullstack Development)

As a SW Engineer (Big Data & Fullstack Development) at Visa, your core responsibilities include delivering top-notch software solutions that leverage data, engaging in hands-on development, coordinating testing automation, and ensuring timely delivery within an agile framework. You'll also communicate project updates effectively with your team and participate in continuous integration activities.

To apply for the SW Engineer (Big Data & Fullstack Development) position at Visa, you should have a Bachelor's degree in Computer Science or a related field, up to 2 years of relevant work experience, and a strong grasp of data structures and algorithms. Proficiency in Java and familiarity with Big Data technologies such as Hadoop, Spark, and Hive is crucial.

The work environment for a SW Engineer (Big Data & Fullstack Development) at Visa is collaborative and adaptive. This hybrid role allows for a mix of remote and in-office work, promoting a culture of teamwork where engineers communicate openly about project statuses and potential challenges affecting their work.

Essential technical skills for a SW Engineer (Big Data & Fullstack Development) position at Visa include proficiency in Java programming, experience with Big Data technologies like Hadoop and Spark, strong understanding of Unix/Linux operating systems, and capability in SQL and RDBMS. Familiarity with version control systems and software design patterns is also advantageous.

During the hiring process for the SW Engineer (Big Data & Fullstack Development) at Visa, candidates can expect a comprehensive evaluation of their technical skills, problem-solving abilities, and cultural fit within the team. This will typically involve initial screenings, technical interviews, and discussions with team leaders to assess your proficiency and alignment with Visa's values.

To tackle software development in data-centric projects, I focus on understanding the business problem first. I prioritize breaking down requirements into manageable tasks and ensuring each component is designed with data integrity and user experience in mind.

In one project, I optimized data processing by integrating Spark with existing frameworks, which reduced processing time by 30%. I analyzed the existing workflow, identified bottlenecks, and implemented scalable solutions that significantly improved efficiency.

I have extensively worked within Agile environments where we conduct regular sprints. My experience includes participating in daily stand-ups, iterating on feedback, and ensuring that tasks are completed within the defined timelines while being adaptable to changing priorities.

I am proficient in Hadoop and Spark. In a previous role, I utilized these technologies to develop data pipelines that processed large datasets efficiently. I leveraged Spark for data transformation tasks, achieving faster results than traditional batch processes.

I have extensive experience using Git for version control. I use it to manage code changes, collaborate with teammates, and maintain code quality. Utilizing branching strategies and pull requests has allowed my teams to work concurrently on different features without disrupting the main codebase.

I ensure code quality by adhering to best practices such as code reviews and writing unit and integration tests. Additionally, I utilize Continuous Integration tools to automatically run tests and verify that new changes do not introduce errors into the codebase.

There was a situation where I had to explain the implications of a new data processing approach to a marketing team. I used visuals and analogies to simplify the explanations, which facilitated a productive discussion on how the changes would impact their workflow.

I'm motivated by the potential of Big Data to drive insightful decisions. The challenge of converting raw data into meaningful information excites me, as it allows me to contribute to solutions that can have a significant impact on business outcomes.

I stay current by engaging in online courses, attending tech meetups, and following industry leaders on social media. Additionally, I experiment with new technologies in personal projects to gain practical experience.

To manage tight deadlines, I prioritize tasks and break them down into manageable chunks. I always communicate early with my team about any potential delays and seek collaborative support to ensure we meet our goals efficiently.