Senior Snowflake & Data Ingestion Engineer (Remote)

Boehringer Ingelheim Gmbh

La Pampa

A distancia

ARS 137.255.000 - 223.039.000

Jornada completa

Hace 2 días
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Currículum y carta de presentación personalizados, listos para enviar.

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Ventajas ofrecidas por este puesto de trabajo

Contractor agreement with payment in $
100% remote work
Argentina's public holidays
English classes
Referral program
Access to learning platforms

Descripción de la vacante

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and connectors for a marketing education platform. You’ll design scalable pipelines, connect diverse data sources, and deliver reliable reporting for education clients.

You will work with Python/Go, SQL/BigQuery, and modern data tooling to empower data-driven decisions in a remote, LATAM-friendly setup.

Formación

  • 5+ years of hands-on data engineering, ideally in marketing/agency settings.
  • Strong SQL and BigQuery experience for transformations and modeling.
  • Proven ability to build scalable data pipelines and data warehouses.

Responsabilidades

  • Own data ingestion and pipeline architecture from multiple sources to dashboards.
  • Build and maintain CRM data connections (Slate/Salesforce/HubSpot).
  • Develop and optimize data models in BigQuery with modular dbt/Dataform pipelines.
  • Design CI/CD pipelines and enforce data segregation in multi-client environments.
  • Enable fast Looker Studio dashboards and automated reports for clients.

Conocimientos

SQL & BigQuery
Python
Go
dbt/Dataform
Adverity
CRM data flows
Looker Studio
Docker & Kubernetes
Git workflows

Herramientas

AWS
Azure
GCP
Adverity
dbt
Dataform

Descripción del empleo

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and connectors for a marketing education platform. You’ll design scalable pipelines, connect diverse data sources, and deliver reliable reporting for education clients.

You will work with Python/Go, SQL/BigQuery, and modern data tooling to empower data-driven decisions in a remote, LATAM-friendly setup.

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