Worst Company - Data Engineer bei ThirdEye Data: Mitarbeiterbewertung

1.0
19. Nov. 2020
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CEO-Befürwortung
Geschäftsprognose

Pros

The company is mainly run by husband and wife and they are such a non-professional that they fire people for personal reasons and do not pay any pending salary of the employees. This has happened to many employees.

Kontras

Employees are leaving this company, New as well as old employees. Do not join this company if you want a secured future. Thank You There is no work-life balance, you will be asked to work every waking hour for the company. There are no proper seniors to guide you, if you are new joiner.

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Reaktion von ThirdEye Data
4y
ThirdEye is a family-run business where both the founders of the company come from technical backgrounds having worked in the Silicon Valley, USA for more than 2 decades. ThirdEye's policies ensure that there is a legal process that is undertaken for every underperforming employee. After going through this whole process, if the employee is still not performing at the expected levels, then they are let go. We have bank records to prove that salaries are ALWAYS paid on time. If you still have questions or comments, please feel free to get back to us through this Anonymous Feedback form: https://forms.gle/ZHPXi5BHGZq6AbVXA

Mehr Bewertungen zu ThirdEye Data entdecken

5.0
18. Feb. 2021
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CEO-Befürwortung
Geschäftsprognose

Pros

Good exposure to work variations

Kontras

All good. Haven't faced anything such.

1
1.0
28. Mai 2026
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CEO-Befürwortung
Geschäftsprognose

Pros

The company provides exposure to fast-paced projects and opportunities to work on diverse client requirements. Team members at the execution level are often hardworking and technically capable.

Kontras

Project proposals and client commitments are frequently created without sufficient involvement from engineering teams responsible for actual implementation. In several cases, aggressive timelines and technical commitments are finalized before feasibility, architecture, and delivery complexity are properly evaluated. There also appears to be heavy reliance on AI-generated proposal content and high-level solutioning without adequate technical validation or research. This can create misalignment between what is promised to clients and what teams can realistically deliver within available timelines and resources. As a result, engineering teams often operate under constant pressure, shifting priorities, and unclear accountability structures. The work environment can become stressful during delivery cycles due to overcommitment and reactive planning. Also favouritism is there .

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