Senior Data Engineer – Focus on Governance, Catalog, and Operational FinOps

🔥 2 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

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Stefanini Brasil

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1987

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Stefanini Brasil is a leading provider of digital transformation solutions, offering a range of services including artificial intelligence, cybersecurity, cloud enablement, and consulting. With over 35 years of experience, the company focuses on integrating innovative technologies to help organizations enhance their operations and customer experiences across various industries. Their expertise extends to sectors like healthcare, retail, and industrial goods, enabling businesses to optimize processes and drive value through technology.

📋 Description

• Work on the Platform Squad, focusing on Governance, Security, and FinOps on Google Cloud Platform (GCP) • Implement and evolve data governance on GCP using Dataplex Catalog, Aspect Types, Entry Groups, Business Glossary, Data Lineage, and Data Profiling • Develop automation for metadata collection, cataloging, and enrichment using Python, SQL, Dataform/dbt, APIs, and AI/LLMs • Map Looker Studio dashboards and data sources • Monitor and optimize BigQuery costs by analyzing jobs, storage, reservations, and unused tables through INFORMATION_SCHEMA and Cloud Billing • Implement FinOps policies, including cost labeling, usage alerts, project/user quotas, and table purge and archiving automation • Automate security and privacy policies in BigQuery using Cloud IAM, Policy Tags, RLS, Dynamic Data Masking, and Sensitive Data Protection (Cloud DLP), ensuring compliance with Brazil’s LGPD • Define Data Contracts, YAML/JSON schemas, and structure evolution rules, integrating validations into CI/CD pipelines • Create governance, cost, and Data Lake health metrics and dashboards • Provide consultative support to technical and business teams

🎯 Requirements

• Strong experience in Data Engineering and governance on GCP, especially BigQuery and Dataplex, including the current Dataplex Catalog architecture (Aspect Types and Entry Groups) • Advanced proficiency in Python and SQL for automation, auditing, and metadata pipeline development • Advanced knowledge of BigQuery INFORMATION_SCHEMA, Cloud Audit Logs, BigQueryAuditMetadata, Cloud Billing, and GCP APIs, including the Looker Studio API • Experience with FinOps and BigQuery cost optimization, including On-Demand, Editions/Slots, Logical/Physical Storage, Time Travel, partitioning, and clustering • Knowledge of data security and privacy, including Cloud IAM, Policy Tags, CLS, RLS, dynamic masking, and LGPD • Experience with Data Contracts, YAML/JSON Schema, Schema Evolution, and integrating validations into CI/CD • Knowledge of performance and caching impacts related to BigQuery security policies • Experience with Sensitive Data Protection (Cloud DLP) and automated sensitive data classification • FinOps Certified Practitioner or Google Cloud Professional Cloud Security / Data Engineer certification • Knowledge of Data Contract standards such as ODCS and Data Contract Specification • Experience with LLMs, AI agents, and tools such as Antigravity for metadata enrichment and semantic data classification • Experience with Dataform/dbt and data cataloging and documentation automation

🏖️ Benefits

• Meal or food allowance • Discounts on courses, universities, and language institutions • Stefanini Academy — a platform offering free, up-to-date online courses with certificates • Mentoring • Benefits club for medical consultations and tests • Health insurance • Dental insurance • Benefits and discounts at top establishments • Travel club • Pet benefits program • Remote work

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