Senior Data Engineer — Databricks & ML Systems

Muttdata; Buenos Aires; Presencial; ARS 1.000.000 - 1.500.000; Jornada completa

Descripción de la vacante

GBS Chevron Global Business Services in Buenos Aires (Puerto Madero) is seeking a Data Engineer to design and maintain automated data pipelines supporting data architecture across the globe. You will work with a team of 1800+ professionals in a multifunction center delivering business services worldwide.

The role focuses on data ingestion, preparation, analytics processing, and collaboration with ML engineers to scale models and deploy data solutions.

Formación

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

Responsabilidades

• Understand business use of data and stakeholder requirements to support processes and objectives.
• Leverage data engineering and analytics techniques to create business value through data accessibility.
• Identify, acquire, cleanse & prepare, store data and develop data products aligned with architecture.
• Normalize and ingest data from multiple sources.
• Enable data scientists and contribute to models with data.
• Work with ML Engineer to scale and deploy solutions.

Conocimientos

Analytical thinking

Consulting

Critical Thinking

Educación

BS in Computer Science, MIS or Computer Engineering or related field

Herramientas

Azure Data Factory

Databricks

Python

Java

Azure SQL

Azure Synapse

Git

Azure Data Lake

Azure Analysis Services

Logic Apps

Descripción del empleo

GBS Chevron Global Business Services in Buenos Aires (Puerto Madero) is seeking a Data Engineer to design and maintain automated data pipelines supporting data architecture across the globe. You will work with a team of 1800+ professionals in a multifunction center delivering business services worldwide.

The role focuses on data ingestion, preparation, analytics processing, and collaboration with ML engineers to scale models and deploy data solutions.