Globo

Senior Data Engineer – Data & AI Solutions in Advertising

Globo

full-time

Posted on:

Location Type: Hybrid

Location: São Paulo • Brazil

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Job Level

Senior

Tech Stack

CloudETLGoogle Cloud PlatformPythonSQLTerraform

About the role

  • Develop, test, and maintain data ingestion, transformation, and provisioning pipelines.
  • Ensure the reliability, scalability, and performance of data solutions.
  • Work with large volumes of structured and unstructured data.
  • Participate in data modeling and in defining architectures for analytical and AI solutions.
  • Support AI initiatives by preparing, versioning, and making data available for ML models and AI agents.
  • Collaborate with Product Owners, business teams, and technical squads to build data products and intelligent solutions.

Requirements

  • Experience developing data pipelines (ETL/ELT) in cloud environments, preferably Google Cloud Platform (GCP).
  • Experience with tools from the GCP ecosystem.
  • Strong SQL and Python skills.
  • Experience with version control (Git) and agile methodologies.
  • Experience with CI/CD applied to data pipelines and with Terraform.
  • Knowledge of data security, governance, and quality best practices.
  • Ability to work collaboratively in multidisciplinary teams.
  • Experience with layered data architectures and integration with BI tools (e.g., Looker).
  • Knowledge of Artificial Intelligence, Machine Learning, and/or AI agents, particularly supporting data pipelines, feature engineering, model consumption, and LLM-based solutions.
Benefits
  • Diversity
  • Technology
  • Innovation
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data ingestiondata transformationdata provisioningETLELTSQLPythonCI/CDTerraformdata modeling
Soft Skills
collaborationcommunicationteamwork