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.

Key Responsibilities

• Design and develop scalable data pipelines using Python and PySpark to process large datasets efficiently on GCP.
• Implement and optimize Big Data solutions leveraging GCP services such as BigQuery, Dataflow, and Cloud Storage to meet business requirements.
• Collaborate with data scientists, analysts, and business stakeholders to understand data needs and translate them into technical solutions.
• Maintain and monitor data workflows ensuring high availability, data quality, and performance metrics are consistently met.
• Develop and manage SQL and PLSQL queries to support data extraction, transformation, and reporting tasks.
• Apply dimensional data modeling techniques to structure data warehouses and improve query efficiency.
• Create interactive dashboards and reports using Power BI to provide actionable insights for decision-makers.
• Document data engineering processes and best practices to facilitate knowledge sharing and onboarding.

What We’re Looking For

Required:

• Bachelor’s degree in Computer Science, Informatics, Systems Engineering, or related fields.
• At least 4 years of professional experience as a Data Engineer or in similar roles.
• Proficiency in Python and PySpark is indispensable for this role.
• Intermediate to advanced experience with Google Cloud Platform (GCP), including BigQuery, Dataflow, and Cloud Storage.
• Strong knowledge of Big Data technologies and frameworks.
• Expertise in SQL and PLSQL for complex data querying and manipulation.
• Demonstrable experience in designing and applying dimensional data models.
• Experience creating reports and dashboards with Power BI.

Preferred:

• Excellent problem-solving skills and ability to work in a fast-paced environment.
• Strong communication skills to collaborate effectively with cross-functional teams.
• Interest in continuous learning and professional growth opportunities.

What We Offer

• Health insurance to support your well-being.
• Paid time off to maintain a healthy work-life balance.
• Retirement plan to secure your future.
• Flexible remote work options allowing you to work from anywhere.
• Opportunities for career development and training in advanced data engineering technologies.
• Collaborative and inclusive company culture fostering innovation.

Frequently Asked Questions

What level of experience is required for this Data Engineer role?
Candidates should have at least 4 years of experience in data engineering or similar positions, with strong skills in Python, PySpark, and GCP.

Is remote work available for this position?
Yes, this role offers remote work eligibility, providing flexibility in your work location.

What technologies will I primarily work with?
You will work extensively with Google Cloud Platform services such as BigQuery and Dataflow, Python, PySpark, SQL/PLSQL, and Power BI.

Are there opportunities for professional growth?
Absolutely. We encourage continuous learning and provide resources for career advancement in data engineering and cloud technologies.

What is the application process like?
The application process is straightforward: submit your resume online, followed by technical interviews and a final cultural fit discussion.

Does the company provide benefits?
Yes, we offer comprehensive benefits including health insurance, paid time off, and a retirement plan.

For more information about data engineering careers: What is a Data Engineer?

Ready to take the next step in your data engineering career? Apply today to join Company and be part of a forward-thinking team driving innovation in Lima, Peru, and beyond.

Related Opportunities

Explore these similar positions that might interest you:

• Data Engineer in Cali,Valle del Cauca Department,Colombia
• Ejecutivos y Gerente de Ventas at HY – CYTE in Pachuca,Hidalgo,México
• Contador público at Soluciones empresariales CYMA LTDA in Bogotá,Bogotá D.C.,Colombia

Apply now and accelerate your career growth with us!