Senior Data Engineer

Cruzeiro do Sul Educacional S/A

. Develop and maintain a Google Cloud architecture for data ingestion and transformation .

Posted 9/15/2026full-timeSão Paulo • BrazilSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and maintaining Google Cloud architecture, with a strong focus on data ingestion, transformation, and pipeline development. Proficient in data governance, quality, and privacy practices while managing teams and collaborating in an agile environment.

Highest-signal resume keywords

Google Cloud ArchitectureBigQuery ProficiencyData Pipeline DevelopmentDataOps PracticesAgile Methodology

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Python ProgrammingSQL KnowledgeDataflow ExpertiseApache AirflowInfrastructure as CodeMachine Learning IntegrationData Security PracticesAnalytical Dashboard DevelopmentBig Data EnvironmentsDimensional Modeling

Soft Skills

Team ManagementProblem SolvingCommunication

Tools & Technologies

Google DataprepGoogle Pub/SubGoogle Cloud StorageTableauPower BIGoogle Data StudioTerraform

Certifications & Qualifications

Data Engineering Certifications

Industry Keywords

Data GovernanceData QualityPrivacy GuidelinesDistributed Data ArchitecturesAdvanced Analytics

Tech Stack

Tools & technologies

AirflowApacheBigQueryCloudGoogle Cloud PlatformHadoopPythonSparkSQLTableauTerraform

About the role

Key responsibilities & impact

Develop and maintain a Google Cloud architecture for data ingestion and transformation
Understand the problems and needs of requesting business areas
Map the required data and its respective sources
Map data movement across Data Lake layers and the required transformations
Create dimensional models for data relationships
Develop data pipelines
Test pipelines and ensure accurate data delivery
Document business requirements, technical requirements, and tests
Follow data governance, quality, and privacy guidelines
Apply DataOps practices
Work using agile methodology with a strong team focus
Manage the team of third-party data engineers and, in the future, internal data engineers
Enable the company to make strategic decisions based on accurate, reliable, and timely data

Requirements

What you’ll need

Education: Bachelor’s degree completed
Proficiency in BigQuery for querying and manipulating data at scale
Advanced knowledge of Google Dataflow, Google Dataprep, Google Pub/Sub, Google Cloud Storage, and other Google Cloud services
Strong Python skills for developing scripts and data pipelines
Knowledge of SQL for complex queries in BigQuery and other data sources
Deep understanding of distributed and scalable data architectures
Experience designing and implementing robust, efficient data pipelines
Experience with orchestration tools such as Apache Airflow or Cloud Composer
Knowledge of data security practices and compliance on Google Cloud Platform
Familiarity with machine learning concepts and integrating data pipelines with ML models in production
Advanced SQL skills for data exploration, transformation, and preparation
Experience building analytical dashboards with Tableau, Power BI, or Google Data Studio
Knowledge of infrastructure as code, such as Terraform
Experience in Big Data and Advanced Analytics environments, including Apache Spark, Airflow, Beam, Hadoop, or Hive
Professional certifications in data engineering are a plus

Benefits

Comp & perks

Working hours: 9:00 a.m. to 7:00 p.m. (Monday to Thursday), 9:00 a.m. to 6:00 p.m. (Friday), 220 hours per month
This position is also open to candidates with disabilities