Senior Data Engineer (Remote) — Cloud & Marketing Analytics

Visa Hunt

Neuquén

Híbrido

ARS 138.361.000 - 199.855.000

Jornada completa

Hace 5 días
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Ventajas ofrecidas por este puesto de trabajo

Remote role
Competitive compensation
Pivotal role in scaling analytics

Descripción de la vacante

Visa Hunt is seeking a Senior Data Engineer focused on marketing analytics to connect paid media data, CRM systems, and the data warehouse. You will own end-to-end data pipelines from ad accounts through Adverity into BigQuery, and onward to Looker Studio dashboards and automated reports.

You will design scalable data models, ensure data quality, and collaborate with analysts and clients to translate reporting needs into robust, maintainable data infrastructure.

Formación

  • 5+ years hands-on data engineering experience, ideally in marketing/agency
  • Strong SQL and BigQuery proficiency for transformation and modeling
  • Experience building and maintaining data pipelines and ETL/ELT frameworks
  • Proficiency with dbt or Dataform and modular pipelines

Responsabilidades

  • Own data ingestion & pipeline architecture across paid media platforms and CRM
  • Build and maintain reliable CRM connections to feed the warehouse
  • Design and optimize the data warehouse in BigQuery with scalable schemas
  • Develop SQL mappings to integrate multi-channel data with version-controlled pipelines
  • Maintain CI/CD pipelines and enforce data segregation across multi-client environments
  • Create performant data views for Looker Studio dashboards and automated reports

Conocimientos

SQL
BigQuery
Python
Data pipelines

Herramientas

dbt
Dataform
Adverity

Descripción del empleo

Visa Hunt is seeking a Senior Data Engineer focused on marketing analytics to connect paid media data, CRM systems, and the data warehouse. You will own end-to-end data pipelines from ad accounts through Adverity into BigQuery, and onward to Looker Studio dashboards and automated reports.

You will design scalable data models, ensure data quality, and collaborate with analysts and clients to translate reporting needs into robust, maintainable data infrastructure.

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