Senior Data Engineer, GCP

Keyrus

. Design, develop, and maintain robust, scalable, and efficient data pipelines in a GCP environment, with a focus on BigQuery .

Posted 10/2/2026full-timeRemote • BrazilSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining data pipelines within Google Cloud Platform, with a strong focus on BigQuery and data governance. Proficient in implementing ETL/ELT processes and optimizing data models for analytical solutions in a Lakehouse architecture.

Highest-signal resume keywords

Google Cloud Platform (GCP)BigQueryInformatica CloudAdvanced SQLData Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentDimensional ModelingData WarehousingData IngestionETL/ELT ProcessesPerformance TuningData QualityData SecurityData Engineering Best PracticesGraph Databases

Soft Skills

Excellent CommunicationAnalytical MindsetProblem-SolvingStakeholder ManagementCollaboration

Tools & Technologies

Informatica CloudDataStageApache SparkDatabricksMicrosoft Analysis ServicesNeo4j

Industry Keywords

Lakehouse ArchitectureAgile MethodologiesDevOps PracticesReal-Time Data IntegrationMulti-Cloud Environments

Tech Stack

Tools & technologies

ApacheBigQueryCloudERPETLGoogle Cloud PlatformInformaticaNeo4jSparkSQL

About the role

Key responsibilities & impact

Design, develop, and maintain robust, scalable, and efficient data pipelines in a GCP environment, with a focus on BigQuery
Implement and manage data ingestion processes from ERP systems, files, and APIs
Create, optimize, and document dimensional data models and analytical solutions within a Lakehouse architecture
Orchestrate and monitor ETL/ELT processes using Informatica Cloud
Partner with Analytics, Data Science, and Product teams to enable data-driven analyses and solutions
Ensure data quality, governance, and security throughout the data lifecycle
Apply data engineering best practices, including version control, automation, and testing
Optimize queries and the performance of analytical environments
Manage requests and align expectations with various stakeholders, including leadership and business teams
Provide technical contributions to the evolution of data practices, processes, and architecture

Requirements

What you’ll need

Strong experience with Google Cloud Platform (GCP)
Proficiency in BigQuery
Experience with Informatica Cloud for data pipeline orchestration
Experience with DataStage and Apache Spark running on Databricks
Knowledge of Lakehouse-based analytical architectures
Experience with dimensional modeling and data warehousing
Experience ingesting and integrating data from ERPs, files, and APIs
Advanced SQL skills, including optimization best practices and performance tuning
Experience with data governance, quality, and security
Experience working on complex projects and collaborating with various teams and stakeholders
Knowledge of Microsoft Analysis Services is a plus
Experience with graph databases, especially Neo4j, is a plus
Experience in multi-cloud or hybrid environments is a plus
Experience with real-time data integration and processing (streaming) is a plus
Knowledge of Agile methodologies is a plus
Experience applying DevOps practices to Data Engineering is a plus
Excellent communication skills with technical and non-technical audiences
Ability to translate business needs into practical, scalable solutions
Ability to influence decisions and build trusted relationships with stakeholders
Analytical mindset and strong problem-solving skills

Benefits

Comp & perks

Experience diversity and multiculturalism at Keyrus
Collaboration across different specialties, functions, and geographies
Opportunities for technical development and knowledge sharing
Remote work
Interaction with people from around the world
Opportunity to work on high-quality projects