Data Engineer: Build Automated Data Pipelines & Analytics

Dentsu; Buenos Aires; Presencial; ARS 2.009.000 - 3.348.000; Jornada completa

Descripción de la vacante

Chevron Global Business Services in Buenos Aires is seeking a Data Engineer to design and maintain automated data transformation pipelines across diverse storage and compute technologies. The role supports data architecture, ingestion, preparation, and analytics for global business services.

The successful candidate will work with Azure-based tools (Data Factory, Databricks, Synapse) and collaborate with IT and analytics teams to deliver scalable data solutions and enable advanced analytics and

Formación

• BS in Computer Science, MIS, Computer Engineering or equivalent.
• 5+ years as Data Engineer or similar role.
• Experience with data ingestion, prep, validation and transformation; analytics architecture; big data and cloud computing.
• Knowledge of Azure Data Factory, Databricks, Synapse, Azure SQL, Data Lake and related tools.

Responsabilidades

• Understand business data needs and stakeholder requirements to support processes.
• Leverage data, software engineering, and data science techniques to enable data accessibility and analytics.
• Ingest, cleanse, store and prepare data from multiple sources for analytics and modeling.
• Enable data scientists by making data available for advanced analytics models.

Conocimientos

Data ingestion

Data transformation

Analytics architecture

Big data

Cloud computing

Python

Java

DevOps/CI-CD

Azure Data Factory

Databricks

Educación

Bachelor's degree in CS/IS/Engineering

Herramientas

Azure Data Factory

Databricks

Azure Synapse

Azure SQL

Azure Data Lake

GIT

CI/CD pipelines

Descripción del empleo

Chevron Global Business Services in Buenos Aires is seeking a Data Engineer to design and maintain automated data transformation pipelines across diverse storage and compute technologies. The role supports data architecture, ingestion, preparation, and analytics for global business services.

The successful candidate will work with Azure-based tools (Data Factory, Databricks, Synapse) and collaborate with IT and analytics teams to deliver scalable data solutions and enable advanced analytics and