Ingeniero de datos - GCP
Published on CazVidat Company
Join Company as a Data Engineer in Santiago de Surco, Peru. Remote work, health insurance, paid time off. Apply today to advance your career!
Salary
$3,500 - $5,500 per month
Location
Peru
Employment type
Full time
Workplace
Remote
Ingeniero de datos - GCP
$3,500 - $5,500 per month
Job description
At Company, a leading innovator in data-driven solutions, we are expanding our team to support our rapid growth in the Latin American market. We're looking for a skilled Data Engineer specializing in Google Cloud Platform (GCP) to join our dynamic team based in Santiago de Surco, Lima region, Peru. This full-time position offers the flexibility of remote work, enabling you to contribute from anywhere while collaborating with a talented group of professionals. Join us to advance your career in a company that values innovation, continuous learning, and professional development. As a Data Engineer at Company, you will work on cutting-edge Big Data projects, leveraging your expertise in Python, PySpark, and GCP to deliver scalable data solutions. We offer competitive compensation, health insurance, paid time off, and a retirement plan, supporting your work-life balance and long-term growth.
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 is the salary range for this role?
The salary for this position is USD 3,500-5,500 per month.
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.