Cloud Data Scientist
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Job Description
Cloud Engineer optimizing GCP data, ML, and LLM infrastructure for Havas Media Group. Maintaining scalable cloud analytics solutions and data pipelines for global marketing teams.
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.
Benefits:
- 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.
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