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Runtalent

Senior Data Engineer

Runtalent

. Design, develop, and maintain scalable, resilient batch and/or streaming data pipelines on GCP .

Posted 10/2/2026full-timeRemote • BrazilSeniorWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in designing and maintaining scalable data pipelines on GCP, with a strong focus on data modeling, version control, and CI/CD practices. Proficient in SQL and Python, ensuring data quality and reliability while collaborating effectively with cross-functional teams.

Highest-signal resume keywords
Data EngineeringGCP Data ServicesSQL ProficiencyPython ProficiencyData Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data EngineeringSQLPythonData ModelingVersion ControlCI/CDTechnical DocumentationData QualityData PipelinesData Transformation
Soft Skills
CollaborationCommunicationProblem-Solving
Tools & Technologies
GCPBigQueryDataflowCloud ComposerPub/SubCloud StorageDataproc
Industry Keywords
Batch ProcessingStreaming DataData ArchitectureAnalytical ConsumptionCost-Efficiency

Tech Stack

Tools & technologies
AirflowBigQueryCloudGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact
  • Design, develop, and maintain scalable, resilient batch and/or streaming data pipelines on GCP
  • Build processes for ingesting, transforming, and making data available from diverse sources
  • Model data for analytical consumption, ensuring performance and cost-efficiency best practices
  • Orchestrate and monitor data workflows, handling failures and ensuring data quality and reliability
  • Apply best practices for version control, CI/CD, testing, and technical documentation
  • Collaborate with architects, analysts, and business teams, including in meetings conducted in English
  • Contribute to technical decisions and support the evolution of the data architecture

Requirements

What you’ll need
  • Solid experience as a Data Engineer, working at a senior level
  • Practical experience with GCP data services, such as BigQuery, Dataflow, Cloud Composer (Airflow), Pub/Sub, Cloud Storage, and Dataproc
  • Proficiency in SQL and Python
  • Experience with data modeling (dimensional and/or data lake/lakehouse)
  • Knowledge of version control (Git) and CI/CD practices
  • Advanced English proficiency

Benefits

Comp & perks
  • Remote work arrangement