Senior Data QA Engineer

As a Senior Data QA Engineer at Mixbook, your primary responsibilities will include developing and executing test strategies to ensure the integrity and consistency of data pipelines. You'll collaborate with cross-functional teams to create comprehensive test cases, monitor data accuracy, diagnose issues, and enhance our testing strategies. Your role is essential in maintaining high standards of data quality that underpin our growth.

To qualify for the Senior Data QA Engineer role at Mixbook, you should have a minimum of 5 years of experience in data quality roles. A strong background in testing data pipelines, proficiency in SQL, and familiarity with ETL tools and data warehousing solutions are essential. Proficiency in various testing techniques and good communication skills are also important in this collaborative role.

Mixbook fosters a positive work culture by emphasizing collaboration, open communication, and personal growth. As a Senior Data QA Engineer, you'll be part of a team that encourages innovation and creative risk-taking. The company believes in empowering its employees to take ownership and make meaningful contributions, all while providing support and constructive feedback.

At Mixbook, Senior Data QA Engineers should be familiar with SQL for data validation, ETL tools like Fivetran or AWS, and data warehousing solutions such as Snowflake or Redshift. Experience with API testing tools like Postman and knowledge of cloud services, particularly AWS, will also be advantageous for this role.

Mixbook values the growth of its employees and provides numerous opportunities for career advancement. As a Senior Data QA Engineer, you'll have access to personal budgets for learning and development, team-building activities, and mentoring programs. Your contributions help shape the company’s success, and you will be encouraged to take on new challenges that enhance your skills and career trajectory.

When answering this question, provide specific examples from your past roles where you successfully tested data pipelines. Discuss the types of tools you used, the challenges you faced, and how you ensured data integrity throughout the process.

As you respond, emphasize your methodical approach to developing test cases. Describe how you gather requirements, identify key data points, and ensure your test cases cover both positive and negative scenarios to validate data accuracy.

Explain your process for diagnosing data quality issues, including how you analyze discrepancies, log issues, and collaborate with engineering teams to implement fixes. Highlight any tools or techniques that aid this process.

Discuss your framework for triaging bugs based on severity and impact. Explain how you communicate these priorities to the development team and any methods you use to track resolution status.

Highlight your proficiency in SQL by discussing specific scenarios where you used SQL queries to validate data, analyze large datasets, or determine data integrity. Provide examples that demonstrate your analytical skills.

Share your methods for staying current in the field, such as following industry blogs, participating in webinars, or engaging with professional networks. Mention any certifications or training that you have pursued.

Provide a specific instance when you identified a gap in a testing strategy and took initiative to enhance it. Explain the positive outcomes of your actions and how they benefited the team or the project.

Discuss the various testing methodologies you have utilized throughout your career, such as Black Box, API Testing, and Regression Testing. Focus on any methodologies that are particularly relevant to data QA.

Explain how you communicate technical concepts to non-technical team members and how you ensure that everyone is aligned on data quality goals. Mention any tools or practices that facilitate cross-functional collaboration.

Share your perspective on the most crucial qualities for this role, such as an analytical mindset, attention to detail, or strong problem-solving skills. Provide examples of how these qualities have influenced your work.