Senior Data Engineer with GCP

Talanto; Brasil; Presencial; BRL 180 000 - 300 000; Tempo integral

Resumo da oferta

Talanto is seeking a Senior Data Engineer in Brazil to contribute to a GCP-based data platform. You will design and sustain data pipelines and analytics infrastructure within Google Cloud Platform to drive reporting across the organization.

Responsibilities include building Dataflow pipelines on GCP, optimizing BigQuery models, and enabling Looker dashboards. Fluency in Portuguese and English at B2 level is required, with collaboration across global teams.

Qualificações

• 3+ years hands-on data engineering experience.
• GCP-based data platform architecture understanding.
• BigQuery: schema design, query optimization, and performance tuning.
• Dataflow for batch/streaming pipelines.
• Looker or equivalent BI tooling experience.
• SQL and ETL/ELT fundamentals.
• Fluent Portuguese with English at B2 level for team collaboration.

Responsabilidades

• Design, build, and maintain data pipelines on GCP Dataflow.
• Develop and optimize BigQuery data models and queries.
• Create reporting layers with Looker or similar BI tools.
• Contribute to the GCP Data Platform architecture roadmap.
• Apply data governance: access controls, data quality, lineage, and documentation.
• Collaborate with cross-functional teams to translate data needs into scalable solutions.
• Monitor and resolve data pipeline performance and reliability issues.

Conhecimentos

Data engineering

GCP architecture

SQL proficiency

ETL/ELT modeling

Data governance

Team collaboration

Ferramentas

BigQuery

Dataflow

Looker

Descrição da oferta de emprego

SQL GCP

Overview

We are looking for a Senior Data Engineer to contribute to a GCP-based data platform project. The position centers on developing and sustaining data pipelines and analytics infrastructure within Google Cloud Platform, helping shape a scalable and dependable data ecosystem that drives reporting and analytics throughout the organization.

Responsibilities

• Design, build, and maintain data pipelines leveraging Dataflow on GCP
• Develop and fine-tune data models and queries within BigQuery
• Create and maintain reporting and analytics layers with Looker (or comparable BI tooling)
• Contribute to the architecture and progression of the wider GCP Data Platform
• Apply data governance standards, covering access controls, data quality, lineage, and documentation across pipelines and datasets
• Collaborate with cross-functional teams to convert data requirements into scalable technical solutions
• Monitor and resolve issues related to data pipeline performance and reliability

Requirements

• 3+ years of hands-on experience in data engineering
• Understanding of GCP-based data platform architecture
• Proficiency in BigQuery, covering schema design, query optimization, and performance tuning
• Expertise in Dataflow for developing batch and/or streaming data pipelines
• Familiarity with Looker or equivalent BI/analytics tooling
• Skills in SQL and knowledge of data engineering fundamentals (ETL/ELT, data modeling)
• Fluent Portuguese speaker with English at B2 level for team collaboration

Nice to have

• Background in data governance approaches, encompassing access management, data cataloging, and lineage
• Familiarity with compliance factors relevant to data platforms

[GTS] Benefits (generic, except India)

• International projects with top brands
• Work with global teams of highly skilled, diverse peers
• Employee financial programs
• Paid time off and sick leave
• Upskilling, reskilling and certification courses
• Unlimited access to the LinkedIn Learning library and 22,000+ courses
• Global career opportunities
• Volunteer and community involvement opportunities
• Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.

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Based on 40 similar vacancies

4626–12953$ /month

4626 $ 25%

8310 $ median

12953 $ 75%

The range shows the lower and upper market bands: 25% of vacancies pay below the first value, the median is the typical salary, and 75% marks the upper band.