Cloud Data Scientist

Havas Perú; Lima Metropolitana; Remote; PEN 100,000 - 156,000; Full time

Benefits offered by this job

Global Exposure

Long-Term Contract

Remote Work Model

Health & Wellness

Culture & Community

Competitive Compensation

Job summary

Havas Perú is seeking a Cloud Engineer to design and optimize cloud-based data analytics on GCP. You will deploy and scale ML/LLM solutions, build secure cloud infrastructure, and automate deployments with scripting and IaC.

Collaboration with cross-functional teams and documentation are key parts of the role. We value 2–5 years of related experience, Python/SQL proficiency, and familiarity with BigQuery, Dataflow, Pub/Sub, and other GCP services.

Qualifications

• 2–5 years of experience in Cloud/Software Engineering or related roles.
• Hands-on experience with Google Cloud Platform (GCP).
• Strong Python and SQL proficiency.
• Experience with GCP services like BigQuery, Cloud SQL, Dataflow, Pub/Sub, App/Compute Engine.
• Experience building and managing ETL/ELT data pipelines.
• Exposure to ML and LLMs on GCP preferred.
• Knowledge of Agile/Scrum methodologies.
• Familiarity with Digital Analytics and Ad-Tech platforms (Google Ads, Campaign Manager, Meta).
• Strong collaboration, curiosity, and learning mindset.
• GCP certifications are a plus.

Responsibilities

• Implement, optimize, and maintain cloud-based solutions on GCP for data analytics and insights.
• Support deployment, maintenance, and scaling of ML and LLM-based solutions.
• Develop and maintain reliable, secure, high-performance cloud infrastructure.
• Automate deployment and management processes using scripting and basic IaC tools.
• Monitor systems, troubleshoot issues, and optimize cloud services and data pipelines.
• Collaborate with senior engineers on design and maintain clear technical documentation.
• Work with cross-functional teams and share cloud best practices with Strategy and Media teams.

Skills

GCP

Python

SQL

ETL/ELT pipelines

Agile/Scrum

Cloud analytics

Machine Learning on GCP

Data analytics

Tools

BigQuery

Cloud SQL

Dataflow

Pub/Sub

App Engine

Compute Engine

Job description

Key Responsibilities

• Implement, optimize, and maintain cloud-based solutions on GCP for data analytics and insights.


• Support the deployment, maintenance, and scaling of ML and LLM-based solutions.


• Develop and maintain reliable, secure, and high‑performance cloud infrastructure.


• Automate deployment and management processes using scripting and basic IaC tools.


• Monitor systems, troubleshoot issues, and optimize cloud services and data pipelines.


• Collaborate with senior engineers on technical design and maintain clear technical documentation.


• Work closely with cross‑functional teams and share cloud best practices with Strategy and Media teams.

Requirements

• 2–5 years of experience in Cloud Engineering, Software Engineering, or related roles.


• Hands‑on experience with Google Cloud Platform (GCP).


• Strong proficiency in Python and SQL.


• Experience with GCP services such as BigQuery, Cloud SQL, Dataflow, Pub/Sub, and App/Compute Engine.


• Experience building and managing ETL/ELT data pipelines.


• Exposure to or strong interest in Machine Learning and LLMs on GCP.


• Knowledge of Agile/Scrum methodologies.


• Familiarity with Digital Analytics and Ad‑Tech platforms (Google Ads, Campaign Manager, Meta).


• Strong collaboration skills, curiosity, and a continuous learning mindset.


• GCP certifications are a plus.

What We Offer

• Global Exposure: Work with international teams and global brands.


• Long‑Term Contract: Stability and the opportunity to grow within a global network.


• Remote Work Model: Virtual work environment with a healthy work-life balance.


• Health & Wellness: EPS 100% health insurance and wellness initiatives.


• Culture & Community: Inclusive, collaborative, and purpose-driven workplace.


• Competitive Compensation: Full time contract monthly salary + food benefit card

If you are a Professional Engineer with a passion for marketing analytics and are eager to make a significant impact on our clients' success, we would love to hear from you!