29 oct
|
Havas Media Network
|
Lima
29 oct
Havas Media Network
Lima
Cloud Data ScientistThis website may use cookies. For more information, please read the Workday Privacy Statement.### Cloud Data ScientistApply: Remote: Lima: Full time: Posted Today: JR0100292**Agency :**Havas Media Group**Job Description :**CSA, the data consultancy within Havas Media Group and part of the Havas Center of Excellence team, is seeking a Cloud Engineer with a focus on optimization, maintenance, and execution of medium-complexity cloud-based data and analytics solutions. You will work within the Google Cloud Platform (GCP) infrastructure, contributing to the development and operational stability of systems, particularly those involving Machine Learning (ML) and Large Language Models (LLMs). You will execute defined tasks with a high degree of independence and support the wider team in maintaining engineering excellence.**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 integral 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 cardIf 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! Apply now to join the CSA team within Havas Media Group and take your career to new heights.**Contract Type :**Permanent**Here at Havas across the group we pride ourselves on being committed to offering equal opportunities to all potential employees and have zero tolerance for discrimination. We are an equal opportunity employer and welcome applicants irrespective of age, sex, race, ethnicity, disability and other factors that have no bearing on an individual’s ability to perform their job.** #J-18808-Ljbffr
Python, SQL, ETL/ELT, Cloud engineering, ML/LLMs on GCP, Agile/Scrum, Analytic thinking, Collaboration
Implement, optimize, and maintain cloud-based data analytics solutions on GCP., Support deployment, maintenance, and scaling of ML/LLM-based solutions., Develop reliable, secure, high-performance cloud infrastructure., Automate deployment and management with scripting and IaC basics., Monitor, troubleshoot, and optimize cloud services and data pipelines., Collaborate with senior engineers and document technical designs., Share cloud best practices with Strategy and Media teams.
📌 Cloud Data Scientist (Lima)
🏢 Havas Media Network
📍 Lima