Data Modeler Job in Lima, Peru - Remote Eligible

Published on CazVidat Employer

Apply for the Data Modeler role in Lima, Peru. Design data models using ERWIN, develop PL/SQL, and ensure data integrity. Remote work available.

Verified by CazVid2 years agoOpen until: Oct 22, 2026

Salary

Not provided

Location

Peru

Employment type

Full time

Workplace

Remote

Data Modeler Job in Lima, Peru - Remote Eligible

Peru

Apply now

Job description

We are seeking a skilled Data Modeler to design and update physical and logical data models for project needs using ERWIN Data Modeler (mandatory).

Key Responsibilities:

  • Design and update physical and logical data models with ERWIN Data Modeler.
  • Participate in data mapping for Datawarehouse and Lakehouse environments.
  • Develop PL/SQL stored procedures to extract information from data models.
  • Ensure compliance with naming standards for all created database objects.
  • Verify that data reaches production exactly as designed.

Work Type: Full-time position with remote work eligibility.

Location: Lima, Lima Province, Peru.

Frequently asked questions

  • 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.

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