Senior Data Engineer: Snowflake, Airflow & Pipelines

Unavailable

Buenos Aires

A distancia

ARS 1.200.000 - 2.000.000

Jornada completa

14 días+
Generador de candidaturas

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Ventajas ofrecidas por este puesto de trabajo

Relocation assistance

Descripción de la vacante

GBS Chevron Global Business Services (GBS) in Buenos Aires is seeking a Senior Data Engineer to design and maintain automated data pipelines, support HR analytics, and enable AI-driven data access. The role emphasizes Snowflake, DBT, Python, and cloud-based data architectures.

You will collaborate with IT and data science teams to deliver reliable data products. The candidate will work with cross-functional teams, ensure data quality, and scale data solutions for enterprise use across the

Formación

  • BS in Computer Science or related field or equivalent experience.
  • +5 years in Data Engineer role.
  • Experience with data acquisition, preparation and validation; data movement and transformation.
  • Experience with cloud data architectures and security technologies.

Responsabilidades

  • Understand business data needs and stakeholder requirements.
  • Develop automated data pipelines and data products.
  • Normalize and ingest data from multiple sources.
  • Enable data scientists by providing accessible data and models.
  • Design semantic views and ontology layers for BI and AI use.

Conocimientos

Data ingestion
Data preparation
Data transformation
SQL
Python
Databricks
Azure Data Factory
ETL
Airflow
Cloud computing

Educación

BS in Computer Science or related

Herramientas

Snowflake
DBT
Git

Descripción del empleo

GBS Chevron Global Business Services (GBS) in Buenos Aires is seeking a Senior Data Engineer to design and maintain automated data pipelines, support HR analytics, and enable AI-driven data access. The role emphasizes Snowflake, DBT, Python, and cloud-based data architectures.

You will collaborate with IT and data science teams to deliver reliable data products. The candidate will work with cross-functional teams, ensure data quality, and scale data solutions for enterprise use across the

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