Engenheiro de Dados Sênior — Foco em Plataforma, Automação & AI Acceleration (GCP)
Core
Build and evolve a data engineering platform on Google Cloud Platform (GCP) with a focus on automation, CI/CD, Developer Experience, and AI acceleration for pipeline and model development.
Role type
Senior Data Platform Engineer (GCP)
Builds
Intelligent toolchains, frameworks, and workflows for automated data pipeline creation, validation, and deployment.
Domain
Cloud Data Engineering / Platform Engineering
Deliverable
production ML models
Required skills
GCP (BigQuery, Cloud Composer/Airflow, Dataflow, Cloud Run, Cloud Functions, Cloud Workflows), Python, SQL, CI/CD (GitHub Actions, GitLab CI, Cloud Build), Terraform, DataOps, SQL validation tools (SQLFluff, SQLGlot), AI-assisted development tools (Antigravity)
Preferred skills
dbt, Dataform, AST SQL analysis, Data lineage, AI agent development, MCP servers, IDE extensions, BigQuery cost optimization, Golden Paths/Modules architecture
Technologies
GCP, BigQuery, Cloud Composer, Airflow, Dataflow, Cloud Run, Cloud Functions, Cloud Workflows, Eventarc, Pub/Sub, Terraform, GitHub Actions, GitLab CI, Cloud Build, SQLFluff, SQLGlot, Antigravity, dbt, Dataform
Responsibilities
Develop and evolve AI-assisted development workflows (Antigravity) to accelerate pipeline generation; Build and maintain CI/CD pipelines with automated SQL validations, contract tests, schema checks, and performance tests; Implement cost analysis and query optimization mechanisms in BigQuery; Develop Infrastructure as Code (IaC) solutions using Terraform; Evolve orchestration processes using Cloud Composer/Airflow, Cloud Workflows, Eventarc, and Pub/Sub; Integrate data engineering and AI tools into the development flow; Promote continuous improvements in Developer Experience.
Seniority
Senior, hands-on IC
