Data Engineer - GCP | Santiago de Surco, Lima, Peru
Published on CazVidat Employer
Apply for Data Engineer role with GCP expertise in Santiago de Surco, Lima. Requires 4+ years experience, Python, PySpark, Big Data, SQL, and Power BI skills.
Salary
Not provided
Location
Peru
Employment type
Full time
Workplace
Remote
Data Engineer - GCP | Santiago de Surco, Lima, Peru
Peru
Job description
Position: Data Engineer with expertise in Google Cloud Platform (GCP)
Location: Santiago de Surco, Lima Region, Peru (Remote eligible)
Job Description
We are seeking a skilled Data Engineer with a strong background in computing and information systems. The ideal candidate will have at least 4 years of experience in data engineering or similar roles, with proven expertise in Python and PySpark.
Key Responsibilities
- Develop and maintain scalable data pipelines using Python and PySpark.
- Work extensively with Google Cloud Platform at an intermediate to advanced level.
- Manage and optimize Big Data environments.
- Write and optimize SQL / PLSQL queries for data extraction and transformation.
- Create and maintain Power BI dashboards and reports.
- Apply dimensional data modeling techniques effectively.
Requirements
- Degree in Computer Science, Informatics, or Systems Engineering.
- Minimum 4 years of experience as a Data Engineer or in similar positions.
- Proficient in Python and PySpark (mandatory).
- Intermediate to advanced experience with Google Cloud Platform (mandatory).
- Strong knowledge of Big Data technologies.
- Experience with SQL / PLSQL.
- Experience with Power BI.
- Demonstrable ability to understand and apply dimensional data models (mandatory).
Work Type: Full-time
Remote Work: Eligible
Frequently asked questions
Is this Data Engineer position fully remote?
Yes, this is a full-time remote position, so you can work from anywhere while being part of the team based in Santiago de Surco, Lima region, Peru.
What technical skills are required for this job?
You need expertise in Google Cloud Platform (GCP), Python, and PySpark to deliver scalable data solutions on Big Data projects.
What kind of projects will I be working on?
You will work on cutting-edge Big Data projects, leveraging your skills to build scalable data solutions using GCP technologies.
What type of employment is this?
This is a full-time employment opportunity.