Senior Backend & Data Ingestion Engineer (Python/Go)

Bluelightconsulting; Quilmes; On-site; ARS 1,200,000 - 1,800,000; Full time

Job summary

Chevron Global Business Services (GBS) in Buenos Aires is seeking an AI Analyst - Agentic AI, Backend & Data Developer to help deploy automated data transformation pipelines and support data architecture design.

The role involves data ingestion, preparation, analytics processing, and collaboration with ML engineers to scale models and enable data scientists with accessible data for advanced analytics.

Responsibilities

• Understand business use of data and stakeholder requirements to support work processes and strategic business objectives
• Leverage data, software engineering, and data science techniques to create business value through data accessibility. Includes data ingestion, data preparation and analytics processing
• Identify, acquire, cleanse & prepare, store data and develop data products aligned with defined architecture patterns
• Responsible for normalizing and ingesting data from multiple sources
• Enable data scientists, making data available for advanced analytics models, and contributing to models
• Work with ML Engineer to scale and deploy

Job description

AI Analyst - Agentic AI, Backend & Data Developer

Buenos Aires, Buenos Aires, Argentina
Full time
R
Utilizes software engineering principles to deploy and maintain fully automated data transformation pipelines that combine a large variety of storage and computation technologies to handle a distribution of data types and volumes in support of data architecture design.
Job Description
GBS Chevron Global Business Services (GBS), located in Buenos Aires (Puerto Madero), Argentina, is accepting applications for the position of Data Engineer. Successful candidates will join the IT Organization, which is part of a multifunction service and technical center with a workforce of more than 1800 employees that deliver business services and solutions to the corporation across the globe.
Utilizes software engineering principles to deploy and maintain fully automated data transformation pipelines that combine a large variety of storage and computation technologies to handle a distribution of data types and volumes in support of data architecture design.
Responsibilities include:
+ Understand business use of data and stakeholder requirements to support work processes and strategic business objectives
+ Leverage data, software engineering, and data science techniques to create business value through data accessibility. Includes data ingestion, data preparation and analytics processing.
+ Identify, acquire, cleanse & prepare, store data and develop data products aligned with defined architecture patterns
+ Responsible for normalizing and ingesting data from multiple sources.
+ Enable data scientists, making data available for advanced analytics models, and contributing to models.
+ Work with ML Engineer to scale and deploy