SW Engineer (Testing in Data Engineering) - job 2 of 3

As a SW Engineer specializing in Testing at Visa, your primary responsibilities will include developing and testing automation frameworks, as well as contributing to core product code. You'll need to ensure the timely delivery of your modules within an agile team setting, and you'll be responsible for everything from initial design to post-deployment support, requiring good communication about project status and potential risks.

To qualify for the SW Engineer Testing position at Visa, you’ll need at least a Bachelor’s degree in Computer Science or a related field, along with a minimum of 3 years of experience in software development, particularly in data-centric projects. Proficiency in Java, dedication to development best practices, and hands-on experience with big data technologies are also preferred.

Visa is committed to continuous learning and development for SW Engineers in Testing. You'll have opportunities to engage with innovative technologies, join workshops, and participate in collaborative projects that promote skills enhancement. The company encourages a proactive approach to personal development to help you keep improving your capabilities.

Key technical skills for a SW Engineer Testing role at Visa include proficiency in Java, hands-on experience with big data technologies like Hadoop and Spark, and strong command over SQL and RDBMS. Familiarity with Unix/Linux, Agile frameworks, and version control systems like Git will also be highly valuable.

The work environment for a SW Engineer Testing at Visa is hybrid, offering a mix of in-office and remote work. You will be part of an energetic, collaborative team that values innovation. Expect a dynamic setting where adaptability is key as you contribute to diverse projects and engage in Continuous Integration activities.

To ensure software quality, I emphasize thorough test planning and execution, including the development of comprehensive test cases. I also prioritize automation where feasible and leverage Continuous Integration tools to get fast feedback. Collaboration with developers is essential to understand new features, which helps me write effective tests.

I have hands-on experience with big data technologies like Hadoop, Spark, and Hive. I have utilized these tools for processing large datasets and performing complex analyses. My focus has been on optimizing performance and ensuring data accuracy in various projects, which complements my testing efforts.

In my development work, I adhere to best coding practices such as following SOLID principles for maintainability, writing clean and modular code, and implementing proper error handling. I also utilize version control systems like Git to track changes and collaborate effectively with my team.

When facing tight deadlines, I prioritize tasks based on project criticality and scope. I focus on delivering core functionalities first while applying agile methodologies to adapt quickly. Open communication within the team is vital to address potential bottlenecks and collectively push for timely delivery without sacrificing quality.

I have extensive experience working within Agile frameworks, participating in daily stand-ups, planning sessions, and retrospectives. Agile principles have taught me adaptability and responsiveness to change, which I apply to my testing role to enhance collaboration with the development team.

When I encounter a problem, I systematically isolate the issue by examining logs and replicating the error conditions. I employ tools for debugging and trace back through the code to identify root causes. Collaboration with team members can often provide insights and alternative perspectives that expedite the debugging process.

One significant complex problem I tackled was optimizing a data processing workflow that was performing poorly under high load. I utilized big data tools to refactor the process and implemented parallel processing techniques which significantly improved performance and reduced processing time by over 40%.

Version control is crucial to my development process as it allows for tracking changes, facilitating collaboration, and ensuring that the codebase remains stable. It enables me to manage different feature branches effectively and provides a safety net through history, which is invaluable when resolving issues or reverting changes.

I prioritize tasks based on deadlines and dependencies, ensuring that critical functions and deliverables are tackled first. Utilizing tools like Kanban boards helps me visualize workload and status updates. Regular check-ins with team members enhance coordination and ensure alignment with overall project goals.

I stay updated on industry trends by participating in online courses, attending webinars, and engaging with tech communities. I also allocate time for personal projects that allow me to experiment with new technologies and frameworks, ensuring I continually deepen my skill set in line with modern practices.