Data Test Engineer

## About the Role The Data Test Engineer role at RegASK is a critical component of the company's data infrastructure team, responsible for designing, executing, and maintaining tests that ensure the accuracy, completeness, and reliability of its data pipelines. This role requires a deep understanding of data engineering principles, as well as the ability to work collaboratively with cross-functional teams, including data engineers, BI developers, and product teams. The ideal candidate will be able to leverage their technical expertise to identify and address data quality issues, while also contributing to the development of automated testing frameworks that support the company's growth and scalability.

As a key member of the data infrastructure team, the Data Test Engineer will play a crucial role in ensuring that RegASK's data-driven decision-making capabilities are supported by reliable, high-quality data. This will involve working closely with stakeholders to understand business requirements, designing and executing test cases to validate data pipelines, and collaborating with the development team to implement fixes and improvements.

RegASK's commitment to innovation and customer satisfaction means that the Data Test Engineer will have the opportunity to work on a wide range of projects, from developing automated testing frameworks to integrating with cutting-edge data technologies. The company's flexible work schedule and generous benefits package make it an attractive option for professionals looking to balance their work and personal life.

## What You Will Do - Design and execute comprehensive test cases for ETL pipelines to ensure data accuracy and completeness - Develop and maintain automated testing frameworks for UI, API, and data layer testing - Validate Power BI reports and dashboards for data correctness and provide recommendations for improvement - Collaborate with data engineers to design and implement data workflows, including Azure Data Factory pipelines and Azure Functions - Integrate automated tests into CI/CD pipelines to support continuous delivery and deployment - Work closely with cross-functional teams, including product and development, to identify and prioritize testing needs - Develop and maintain technical documentation for testing processes and procedures - Identify, document, and track defects through resolution, collaborating with development teams to implement fixes - Participate in code reviews and contribute to the improvement of the testing framework and overall code quality

## What We Are Looking For - 3+ years of experience in data testing and automation, with a strong background in data engineering and software development - Proficiency in programming languages, such as Python, Java, or C# - Experience with automated testing frameworks, such as Selenium or Appium - Strong understanding of data pipelines, including ETL processes and data warehousing - Familiarity with cloud-based data platforms, such as Azure or AWS - Experience with Agile development methodologies and version control systems, such as Git - Strong analytical and problem-solving skills, with the ability to work independently and collaboratively - Excellent communication and interpersonal skills, with the ability to work effectively with technical and non-technical stakeholders

## Nice to Have - Experience with machine learning or artificial intelligence technologies - Familiarity with containerization technologies, such as Docker - Knowledge of DevOps practices and tools, such as Jenkins or Kubernetes - Certification in data engineering or a related field - Experience working in a remote or distributed team environment

## Benefits and Perks - Generous paid time off and holiday schedule - 401k matching retirement plan - Comprehensive health, vision, and dental insurance - Flexible work schedule and remote work options - Opportunities for professional growth and development - Access to cutting-edge technologies and tools - Collaborative and dynamic work environment - Recognition and rewards for outstanding performance

• Tip: Be prepared to showcase your expertise in data testing and automation, including your experience with automated testing frameworks and data pipelines.
• To stand out, highlight your ability to work collaboratively with cross-functional teams and communicate complex technical concepts to non-technical stakeholders.
• When preparing for your interview, review the company's technology stack and be prepared to discuss your experience with similar tools and technologies.
• Consider creating a portfolio that showcases your testing frameworks and automation projects, and be prepared to walk the interviewer through your design and development process.
• Don't be afraid to ask about the company's approach to remote work and flexible scheduling, and be prepared to discuss your own experience working in a distributed team environment.
• Finally, be sure to research the company's culture and values, and be prepared to discuss how your own values and work style align with those of the company.