Cloud Data Scientist

• 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.

• 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.

• 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.