Engenheiro de Dados Sênior — Foco em Governança, Catálogo & FinOps Operacional (GCP)

Added
11 days ago
Type
Full time
Salary
Salary not provided

Related skills

bigquery data engineering sql python gcp

📋 Description

  • Implement and continuously improve data governance capabilities on GCP using Dataplex Catalog
  • Develop automated processes for metadata collection, cataloging, and enrichment using Python, SQL
  • Monitor and optimize BigQuery costs by analyzing jobs, storage consumption, reservations, and
  • Establish and automate FinOps policies, including job and table cost labeling, consumption alerts
  • Automate BigQuery security and privacy policies using Cloud IAM, Policy Tags, Column-Level Security
  • Define Data Contracts, YAML/JSON schemas, and schema evolution rules, integrating automated

🎯 Requirements

  • Strong professional experience in Data Engineering and data governance on GCP, particularly with
  • Advanced proficiency in Python and SQL for automation, auditing, and metadata pipeline development.
  • In-depth knowledge of BigQuery INFORMATION_SCHEMA, Cloud Audit Logs, BigQueryAuditMetadata, Cloud
  • Hands-on experience with FinOps and BigQuery cost optimization, including On-Demand pricing
  • Solid understanding of data security and privacy practices, including Cloud IAM, Policy Tags, CLS
  • Experience defining and implementing Data Contracts, YAML/JSON Schema, schema evolution practices

🎁 Benefits

  • Full-time employment under a Brazilian CLT contract.
  • Fully remote work arrangement.
  • Meal or food allowance (vale-refeição or vale-alimentação).
  • Discounts on courses, universities, and language-learning institutions.
  • Access to an online learning platform offering free, updated courses with certificates.
  • Mentoring opportunities.
Get alerts for new remote data jobs
A weekly email with new matches. Unsubscribe anytime.
Share job

Meet JobCopilot: Your Personal AI Job Hunter

Automatically Apply to Data Jobs. Just set your preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.

Related Data Jobs

See more Data jobs →