Candidate completes adaptive challenges in a live environment. WallFace™ monitors authenticity across 7 layers throughout.
AI evaluates on multiple dimensions — correctness, approach, code quality, edge case handling. No pass/fail. No black box.
Plain-language summary delivered to the recruiter in under 5 minutes. Skill ratings, flags for follow-up, suggested interview questions.
The recruiter reviews the report and makes the call. Advance, hold, or pass. The AI surfaces the signal. You decide.
Candidate completes adaptive challenges in a live environment. WallFace™ monitors authenticity across 7 layers throughout.
AI evaluates on multiple dimensions — correctness, approach, code quality, edge case handling. No pass/fail. No black box.
Plain-language summary delivered to the recruiter in under 5 minutes. Skill ratings, flags for follow-up, suggested interview questions.
The recruiter reviews the report and makes the call. Advance, hold, or pass. The AI surfaces the signal. You decide.
The Data Engineer assessment evaluates a candidate's ability to design, build, and maintain data pipelines. It covers SQL, Python, ETL design, data modeling, cloud platforms, and data quality practices.
A report with skill ratings across 7 data engineering dimensions, pipeline design quality signals, cloud platform proficiency, and interview questions focused on the candidate's specific gaps.
Recruiters placing data engineers at companies building data infrastructure. TA teams hiring data engineers for the first time and needing a structured way to evaluate candidates without a data team on staff.