Cloud Data Scientist

Havas

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

Posted 10/25/2026full-timeRemote • PeruJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in implementing and optimizing cloud-based solutions on Google Cloud Platform (GCP), with strong proficiency in Python and SQL for data analytics. Capable of building and managing ETL/ELT data pipelines while collaborating effectively with cross-functional teams.

Highest-signal resume keywords

Google Cloud Platform (GCP)Python ProgrammingSQL ProficiencyETL/ELT Data Pipeline ManagementMachine Learning Exposure

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Cloud EngineeringSoftware EngineeringData AnalyticsInfrastructure AutomationScriptingIaC ToolsSystem MonitoringTroubleshootingTechnical DocumentationAgile/Scrum Methodologies

Soft Skills

CollaborationCuriosityContinuous Learning Mindset

Tools & Technologies

BigQueryCloud SQLDataflowPub/SubApp EngineCompute EngineDigital Analytics PlatformsAd-Tech Platforms

Certifications & Qualifications

GCP Certifications

Industry Keywords

Marketing AnalyticsAd-TechDigital Analytics

Tech Stack

Tools & technologies

BigQueryCloudETLGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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
Professional Engineer with a passion for marketing analytics

Benefits

Comp & perks

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
EPS 100% health insurance
Wellness initiatives
Inclusive, collaborative, and purpose-driven workplace
Full time contract monthly salary
Food benefit card