Offer summary

Qualifications:

Expert-level proficiency in SQL and Python., Hands-on experience with DBT, Vertex, and Collab., Good understanding of QA methodologies, tools, and processes., Bachelor's degree in Computer Science..

Key responsabilities:

Work closely with development leads and data engineers to define analysis strategies.

Create test plans to ensure high-quality code delivery.

Build, manage, and maintain a robust testing environment.

Utilize CI/CD practices in the testing process.

We are a staffing solutions and IT Solutions company that provides you with a platform to find the right fit for your desired job profile. The employment situation is constantly shifting with the changing times, and we are here to ensure that you gather the workforce that compliments your long-term goals. We understand the struggle of the search for talent that accommodates the skills and qualifications for specific profiles, one that blends in with the theme of your organization. We aim to be the best available source for young talent to find their dream jobs, by helping them narrowing down their options to the most suitable work profiles available in the market. At RIG, we consistently work towards creating the latest technology that may not only simplify your work process but also provides you with the most cost-effective solutions. We work hard to make sure that your business strives in the market to be on the top in your field.

Job description

Job Title: - Data QA Engineer
Location: - 100% Remote
Duration: - 6+ months
Experience: - 8+ years

We are seeking a dedicated and technically skilled Data QA Engineer. The Engineer will work closely with development leads and data engineers to define analysis strategies and create test plans that ensure the highest quality of code delivery. The candidate will build, manage, and maintain a robust testing environment.