Engenheiro(a) de Dados Pleno (GCP/Machine Learning)
Core
Build scalable data pipelines, implement data solutions in production, and migrate legacy data warehouses to cloud environments to support business data consumption.
Role type
Mid-level Data Engineer (GCP/ML)
Builds
Reusable data workflows, scalable ETL pipelines, and cloud-based data solutions for business units.
Domain
Cloud data engineering and machine learning infrastructure
Deliverable
production ML models | infrastructure
Required skills
Data engineering, Google Cloud Platform (GCP), BigQuery, Redis, AlloyDB, ETL pipeline design, data quality governance, cloud architecture principles
Preferred skills
Data pipeline development, data processing, cloud access concepts, automation tools
Technologies
Google Cloud Platform, BigQuery, Redis, AlloyDB
Responsibilities
Develop reusable workflows for data ingestion, quality assurance, transformation, and optimization; Build scalable data pipelines using ETL tools; Deploy data solutions in production environments ensuring reliability and efficiency; Migrate legacy data warehouse data applying cloud architecture principles; Automate data flows to facilitate business information consumption; Design and implement processes supporting data governance; Define and guide data quality rules and establish compliance policies
Seniority
Mid-level, hands-on IC
