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C

Senior Data Engineer

Cruzeiro do Sul Educacional S/A

. Develop and maintain efficient, scalable data systems on Google Cloud Platform .

Posted 10/22/2026full-timeSão Paulo • BrazilSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and maintaining scalable data systems on Google Cloud Platform, with a strong focus on data ingestion, transformation, and governance. Proficient in advanced SQL, data pipeline delivery, and analytical dashboard creation using industry-standard tools.

Highest-signal resume keywords
Google Cloud PlatformAdvanced SQL SkillsDataOps PracticesApache SparkTableau

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data Pipeline DevelopmentDimensional ModelingData TransformationData GovernanceInfrastructure as Code
Soft Skills
Team ManagementCommunicationProblem Solving
Tools & Technologies
TableauPower BIGoogle Data StudioTerraformApache AirflowApache BeamHadoopHive
Certifications & Qualifications
Professional Certifications in Data Engineering
Industry Keywords
Big DataAdvanced AnalyticsAgile MethodologyData Lake

Tech Stack

Tools & technologies
AirflowApacheCloudGoogle Cloud PlatformHadoopSparkSQLTableauTerraform

About the role

Key responsibilities & impact
  • Develop and maintain efficient, scalable data systems on Google Cloud Platform
  • Develop and maintain architecture in the Google Cloud environment for data ingestion and transformation
  • Understand the challenges and needs of requesting business areas
  • Map the required data, its sources, and its movement across Data Lake layers
  • Define the required transformations and create dimensional models for data relationships
  • Develop, test, and ensure the proper delivery of data pipelines
  • Document business requirements, technical specifications, and tests
  • Follow data governance guidelines, including data quality and privacy
  • Apply DataOps practices and work within an agile methodology
  • Manage the team of third-party data engineers and, in the future, internal data engineers

Requirements

What you’ll need
  • Education: Bachelor’s degree completed
  • Advanced SQL skills for data exploration, processing, and preparation
  • Experience with or knowledge of building analytical dashboards using Tableau, Power BI, or Google Data Studio
  • Knowledge of infrastructure as code, such as Terraform
  • Professional certifications in data or data engineering
  • Experience in Big Data and Advanced Analytics environments, using Apache tools such as Spark, Airflow, Beam, Hadoop, and Hive
  • Availability to work from 9:00 a.m. to 7:00 p.m., Monday through Friday