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 EngineGoogle AdsCampaign ManagerMeta

Certifications & Qualifications

GCP Certifications

Industry Keywords

Digital AnalyticsAd-Tech

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.

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 and wellness initiatives.
Inclusive, collaborative, and purpose-driven workplace.
Full time contract monthly salary + food benefit card.