AI-Driven Data Engineer for Marketing Analytics & ETL

Power Digital Marketing; Partido de Quilmes; On-site; ARS 136,430,000 - 227,383,000; Full time

Benefits offered by this job

Professional growth

USD compensation

Diverse projects

Flextime

Job summary

Chevron Global Business Services (GBS) in Buenos Aires seeks an experienced Data Engineer to design and productionize scalable ETL/ELT pipelines using Databricks and PySpark. The role focuses on automating agentic workflows, data quality, and performance optimization across Databricks, GCP, BigQuery, and Delta Lake environments.

The ideal candidate has 5+ years in data engineering, strong SQL, and hands-on cloud experience with Azure and GCP, plus a solid software engineering mindset for

Qualifications

• BS in Computer Science, MIS, Computer Engineering or related fields or equivalent experience.
• +5 years in Data Engineer role.
• Experience with data acquisition, preparation and validation; data movement and transformation; analytics solution architecture; big data computing; cloud computing; core data architecture.
• Knowledge of ETL/ELT, data pipeline design, performance optimization, and data quality.
• Experience with Azure Data Factory, Databricks and related data technologies.
• Strong analytical and troubleshooting skills; experience with software engineering practices.

Responsibilities

• Understand business data usage and stakeholder requirements to support processes and objectives.
• Leverage data, software engineering, and data science techniques to create business value through data accessibility.
• Identify, acquire, cleanse, and prepare data; develop data products aligned with architecture patterns.
• Design, build, deploy, and maintain scalable ETL/ELT pipelines using Databricks and SQL.
• Develop reusable data engineering frameworks and production-grade solutions.
• Implement data quality checks, monitoring, validation, and production controls.
• Collaborate with teams to identify automation opportunities and improve data reliability.

Skills

Analytical thinking

Problem solving

Communication

Consulting

Critical thinking

Education

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

Tools

Databricks

PySpark

SQL

Azure Data Factory

Databricks

DevOps

CI/CD

Python

Java

Ansible

Azure SQL

Azure Synapse

GIT

ADO

Azure Data Lake

Azure Analysis Services

Logic Apps

Microsoft Data Flows

Kimball Data Warehousing

Job description

Chevron Global Business Services (GBS) in Buenos Aires seeks an experienced Data Engineer to design and productionize scalable ETL/ELT pipelines using Databricks and PySpark. The role focuses on automating agentic workflows, data quality, and performance optimization across Databricks, GCP, BigQuery, and Delta Lake environments.

The ideal candidate has 5+ years in data engineering, strong SQL, and hands-on cloud experience with Azure and GCP, plus a solid software engineering mindset for