QA Engineer - Data Platform

As a QA Engineer - Data Platform at Veeva Systems, your primary responsibilities will include identifying project scopes, creating test cases for applications that use ETL components, and testing the accuracy and completeness of data. You will work closely with data engineering to validate data pipelines and employ your skills in SQL to simulate key ETL mapping scenarios, all while maintaining a focus on delivering exceptional data quality and customer success.

To qualify for the QA Engineer - Data Platform role at Veeva Systems, candidates should have at least 3 years of experience with ETL testing, a solid understanding of SQL, and familiarity with cloud platforms like AWS. A bachelor's degree in computer science or a related field is preferred, alongside strong analytical and problem-solving skills. Experience in automation and Agile environments will also be beneficial, ensuring you can navigate the fast-paced world of data management efficiently.

Essential skills for a QA Engineer - Data Platform at Veeva Systems include proficiency in writing advanced SQL queries, familiarity with ETL components, and a strong grasp of data models. Additionally, having experience in automating test cases and a basic understanding of object-oriented programming will support your success in this role. You will also need excellent verbal and written communication skills to collaborate effectively with team members.

A typical day for a QA Engineer - Data Platform at Veeva Systems involves collaborating with data engineers, developing and executing test strategies, and validating data accuracy. You'll spend time creating and automating test cases, analyzing ETL mapping, and working towards maintaining high data quality standards. The role is dynamic and involves problem-solving in collaboration with a team that shares a common goal of driving value through data excellence.

Growth opportunities for QA Engineers - Data Platform at Veeva Systems are robust, as the company is committed to employee success. With extensive investments in training and professional development, you can expect to enhance your technical skills and advance your career within a company that values innovation and creativity in the data space. The supportive work environment encourages taking on new challenges and even moving into leadership roles over time.

When answering this question, emphasize the importance of understanding the project scope and business rules before developing test cases. Discuss how you identify key ETL mapping scenarios and consider various data flows, as these aspects will directly impact the effectiveness of your test cases.

Share specific examples of your hands-on experience with SQL and ETL testing processes. Explain how you have created SQL queries to validate data accuracy and how you have automated tests to improve efficiency, showcasing your technical knowledge for the QA Engineer role.

Talk about your systematic approach to data validation, including double-checking data sources and ensuring data types and formats meet expectations. Highlight any tools or methodologies you implement to track and manage data testing outcomes effectively.

Discuss your communication strategies and collaborative approaches when working with data engineers. Highlight your ability to articulate testing needs and how teamwork is essential in ensuring software quality and efficiency.

Provide details on any automation tools you've utilized and specific scenarios where automation has enhanced the efficiency of your testing processes. This not only shows your technical capabilities but also your commitment to optimizing workflows.

Explain your understanding of Agile methodologies and provide examples of how you have adapted your testing strategies to fit sprints. Emphasize your flexibility and ability to quickly address changes while maintaining a focus on quality.

Identify a specific challenge you encountered in QA testing, illustrating your problem-solving skills. Describe the steps you took to address the issue and the successful outcome to demonstrate your resilience and ability to learn from experiences.

Express your admiration for Veeva's mission and values. Discuss how their commitment to customer success and innovation aligns with your professional goals and how you see yourself contributing to their success in the life sciences sector.

Describe your prioritization strategies, such as assessing deadlines, project importance, and potential impact on customer success. Highlight your time management skills and your proactive approach to setting achievable goals.

List the tools and technologies you have experience with that are pertinent to the QA Engineer position at Veeva Systems. This might include specific testing tools, cloud platforms like AWS, or any programming languages you have utilized in your testing processes.