Data Engineer

Chevron; Municipio de Esquel; On-site; ARS 1,800,000 - 2,400,000; Full time

Job summary

Chevron Global Business Services (GBS), based in Buenos Aires, Argentina, is seeking a Data Engineer to design, build and maintain automated data pipelines that support data architecture and analytics across the organization.

The candidate will work with Azure Data Factory, Databricks, and other Azure services to ingest, transform, and store data from diverse sources, enabling data-driven decision making for global business services.

Qualifications

• BS in Computer Science, MIS, Computer Engineering or related field, or equivalent experience.
• 5+ years in Data Engineer role.
• Experience with Azure data services, cloud computing, and data architecture.
• Familiarity with CI/CD pipelines and software engineering practices.

Responsibilities

• Understand business data use and stakeholder requirements to support processes.
• Leverage data engineering techniques to enable accessible analytics and data products.
• Ingest, prepare, cleanse, and store data from multiple sources.
• Normalize and ingest data for analytics use cases.
• Support data scientists by providing ready-to-use data and models.
• Collaborate with ML Engineer to scale and deploy data solutions.

Skills

Data engineering

ETL/ELT

Analytics

Big data

Education

BS in Computer Science or related field

Tools

Azure Data Factory

Databricks

Azure SQL

Azure Synapse

Python

Java

Git

Azure Data Lake

Logic Apps

Job description

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

• 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 solution including model, documentation, training, integration
• Contributing to the inner source development of foundational tools, and/or the deployment of technical services.

Required Qualifications

• BS in Computer Science, Management Information Systems, Computer Engineer or related fields or equivalent experience.
• +5 years in Data Engineer Role
• Knowledge and/or experience with: data acquisition, preparation and validation; data movement and transformation; analytics solution architecture; big data computing; cloud computing, core data architecture; information security technologies and software engineering using technologies such as: Azure Data Factory (ETL), Databricks, DevOps, CI/CD Pipeline Deployment, Python, Java, Ansible, Azure SQL, Azure Synapse, GIT, ADO, Azure Data Lake, Azure Analysis Services, Logic Apps, Microsoft Data Flows, Kimball Data Warehousing Methodology
• Analytical thinking, Consulting, Critical Thinking

Relocation

Relocation may be considered.

International Considerations

Expatriate assignments will not be considered. Chevron regrets that it is unable to sponsor employment Visas or consider individuals on time-limited Visa status for this position.