Position:
Assistente Recursos Humanos / Revrutamento Seleção /Benéficios at Churrascaria Saudita
Location:
Rio de Janeiro, Brazil
Found email addresses for Daniela Lopes:
Found phone for Daniela Lopes:
Aug 2021 - Current
Oct 2020 - Feb 2021
Jan 2019 - Mar 2019
Jul 2018 - Nov 2018
Mar 2018 - Jun 2018
Jan 2011 - Dec 2016
Graduação at Unopar - Macaé
Curso técnico em Recursos Humanos at Curso Evolução
Curso técnico em administração at Curso Evolução
Ensino médio at Colégio Secamp
What is Daniela Lopes's email address?
SignalHire found a verified business email address for Daniela Lopes: ****@gmail.com.What is Daniela Lopes's phone number?
SignalHire found a verified phone number for Daniela Lopes: +55-***-***-5016.How do I contact Daniela Lopes at Churrascaria Saudita?
You can reach Daniela Lopes through SignalHire by unlocking their verified email and direct phone number (free signup, no credit card needed). SignalHire is the fastest route if you need their contact details immediately.What is Daniela Lopes's professional background?
Daniela Lopes has 15 years of professional experience. They have held roles including Gerente de marketing de vendas, Secretária, and Auxiliar de escritório at companies such as imobiliária Generaly, Servitron Servicos Eletronicos, and Elamalux. Their education includes Graduação from Unopar - Macaé, and Curso técnico em Recursos Humanos from Curso Evolução.Is Daniela Lopes's contact information up to date?
Yes. Daniela Lopes's SignalHire profile was last updated on 6 October 2025, reflecting their current position as Assistente Recursos Humanos / Revrutamento Seleção /Benéficios at Churrascaria Saudita.SignalHire complies with the General Data Protection Regulation (GDPR). SignalHire follows GDPR requirements, including but not limited to rights of data subjects to access, correct, or delete their personal information and supports the right to be forgotten.
SignalHire is CCPA-compliant and provides California residents the right to know, access, opt out, and request deletion of their personal data.