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Rox Partner

Senior Data Engineer

Rox Partner

. Develop and enhance Data Engineering solutions within the Google Cloud Platform (GCP) ecosystem .

Posted 11/7/2026contractRemote • BrazilSeniorWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in developing and enhancing Data Engineering solutions within the Google Cloud Platform (GCP) ecosystem, with a strong focus on building reliable data pipelines, automating processes using Python, and optimizing ETL/ELT workflows. Proficient in data modeling, SQL, and orchestration tools like Apache Airflow, ensuring high data quality and governance.

Highest-signal resume keywords
Google Cloud Platform (GCP)Python AutomationSQL Data ManipulationETL/ELT Pipeline DevelopmentApache Airflow Orchestration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data EngineeringData ModelingETL/ELT ProcessesSQLPythonDataformDbtApache AirflowDistributed ProcessingVersion Control
Soft Skills
CollaborationAgile MethodologiesProblem Solving
Tools & Technologies
Google Cloud Platform (GCP)BigQueryDataformDbtApache AirflowCloud WorkflowsGitGitLabApache SparkDataproc
Certifications & Qualifications
Google Cloud Certifications
Industry Keywords
Data QualityData GovernanceData WarehousingLakehouse ArchitectureFinancial Reconciliation

Tech Stack

Tools & technologies
AirflowApacheBigQueryCloudETLGoogle Cloud PlatformPythonSparkSQL

About the role

Key responsibilities & impact
  • Develop and enhance Data Engineering solutions within the Google Cloud Platform (GCP) ecosystem
  • Work end to end across the data lifecycle, from ingestion and processing through transformation, modeling, and data delivery
  • Build and maintain reliable data pipelines
  • Develop transformations using BigQuery and Dataform or dbt
  • Automate processes with Python
  • Contribute to data quality, governance, and organization
  • Support the initial configuration and parameterization of the solution
  • Contribute to user and access management, operational documentation, and collaboration with business teams
  • Develop, enhance, and support pipelines using GCP services and tools
  • Build and optimize ETL/ELT processes
  • Develop and maintain distributed processing jobs for large data volumes
  • Implement and manage orchestration workflows with Apache Airflow and Cloud Workflows
  • Develop and maintain versioned data transformations and models with testing and documentation
  • Create Python scripts and automation solutions
  • Develop complex queries and optimize data manipulation with SQL
  • Identify and resolve pipeline performance, quality, and availability issues
  • Participate in code reviews, version control, and CI/CD processes
  • Collaborate with the team in an agile environment using Kanban

Requirements

What you’ll need
  • Solid experience as a Data Engineer on medium- or high-complexity projects
  • Hands-on experience with Google Cloud Platform (GCP)
  • Proficiency in Python for solution development and process automation
  • Advanced SQL skills and experience with data modeling and data warehousing
  • Experience developing and maintaining ETL/ELT pipelines
  • Knowledge of data transformation tools such as Dataform or dbt
  • Experience orchestrating pipelines with Apache Airflow and/or Cloud Workflows
  • Experience with distributed processing using Apache Spark, Dataproc, or equivalent technologies
  • Experience with Git, GitLab, code versioning, and CI/CD practices
  • Knowledge of software engineering best practices, monitoring, and error handling
  • Preferred: knowledge of Dataflow and Apache Beam
  • Preferred: experience with Lakehouse architecture
  • Preferred: Google Cloud certifications
  • Preferred: experience with financial, accounting, or operational reconciliation processes
  • Preferred: knowledge of Data Reliability and data quality monitoring strategies
  • Preferred: experience handling large data volumes
  • Preferred: experience with Kanbanize

Benefits

Comp & perks
  • Remote work — Monday to Friday, 9:00 a.m. to 6:00 p.m.
  • Home office allowance — R$300.00 per month credited to an iFood card for meals and food expenses
  • Birthday benefit — gift voucher and one day off
  • Full access to RoxSchool, Alura, Pluralsight, and O’Reilly platforms for books and talks
  • Certification reimbursement of up to R$300.00 (Technology)
  • R$300.00 bonus for each certification earned from these brands
  • Psychological support — two psychotherapy sessions per month funded by ROX
  • WellHub (Gympass) — partnership with gyms and health and wellness apps
  • Work equipment provided