Data Modeler – Lima, Peru
Publicado en CazViden Employer
Explore a full-time, remote-eligible Data Modeler job in Lima, Peru. Use ERwin, PL/SQL, and data mapping skills to support warehouse and lakehouse projects.
Salario
No especificado
Ubicación
Perú
Tipo de empleo
Tiempo completo
Modalidad
Remoto
Data Modeler – Lima, Peru
Perú
Descripción del empleo
We’re seeking a Data Modeler for a full-time role based in Lima, Peru. This position is remote-eligible and focuses on designing and maintaining data models that support project requirements.
Responsibilities
- Design and update logical and physical data models using ERwin Data Modeler (required).
- Contribute to data mapping for data warehouse and lakehouse environments.
- Write PL/SQL statements and stored procedures to extract information from data models.
- Ensure database objects follow established naming standards.
- Verify that data is delivered to production as designed.
Requirements
- Required experience with ERwin Data Modeler.
- Ability to work with logical and physical data models, data mapping, and PL/SQL stored procedures.
- Attention to data standards and production implementation.
Location: Lima, Lima Province, Peru. Remote eligibility is available.
Employment type: Full-time.
Preguntas frecuentes
Is this Data Modeler position fully remote?
Yes, this is a full-time position that offers the flexibility of remote work, so you can contribute from anywhere.
What kind of experience do I need for this role?
You need experience with ERWIN Data Modeler, proficiency in PL/SQL, and knowledge of data warehousing, along with a relevant bachelor's degree.
What will my main responsibilities be as a Data Modeler?
You will design and update data models, collaborate on data mapping, develop PL/SQL procedures, ensure naming standards, validate production data, troubleshoot issues, and document processes.
Are there any benefits included with this job?
Yes, benefits include health insurance, paid time off, a retirement plan, remote work flexibility, professional development, and an inclusive culture.
What kind of career growth can I expect?
The role offers opportunities for professional development and career advancement, especially through involvement in cutting-edge data warehouse and lakehouse projects.