Remote Data Engineer — Databricks, GCP & BigQuery Expert

Caramel Point; Buenos Aires; A distancia; ARS 1.200.000 - 2.400.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flextime

Descripción de la vacante

Chevron Global Business Services (GBS) in Buenos Aires is seeking a Data Engineer to design, develop, and deploy scalable data pipelines and agentic workflows. The role focuses on Databricks and PySpark, with strong emphasis on SQL, GCP BigQuery, and Delta Lake within modern data lake architectures.

The successful candidate will collaborate with IT teams to enable data accessibility, support analytics, and productionize data solutions for global business services.

Formación

• 5+ years hands-on Databricks and PySpark experience.
• Advanced SQL and data-processing skills.
• Hands-on experience with GCP, particularly BigQuery.
• Experience with Delta Lake and modern data lake/lakehouse architectures.
• Strong understanding of ETL/ELT, data pipeline design, performance optimization, and data quality.
• Experience building reliable, scalable, production-grade data solutions.
• Strong analytical and troubleshooting skills.
• Understanding of software engineering practices, including testing, version control, deployment, monitoring, and production support.

Responsabilidades

• Design, develop, and optimize scalable ETL/ELT data pipelines with Databricks, PySpark, and SQL.
• Build and operationalize agentic workflows to automate data engineering and operational processes such as data validation, issue identification, troubleshooting, and workflow execution.
• Integrate agentic capabilities with existing Databricks, GCP, BigQuery, and Delta Lake environments.
• Develop data pipelines and processing solutions to support new business requirements and datasets.
• Build reusable frameworks and components across data engineering use cases.
• Implement data quality checks, monitoring, validation, exception handling, and production controls.
• Optimize PySpark and SQL workloads for performance, reliability, and scalability.
• Support testing, deployment, productionization, and ongoing enhancement of data and agentic solutions.
• Troubleshoot complex data and production issues and implement sustainable solutions.
• Collaborate with business, data engineering, and platform teams to identify further automation opportunities.

Conocimientos

Databricks

PySpark

Advanced SQL

GCP BigQuery

Delta Lake

ETL/ELT

Production-grade data solutions

Troubleshooting

Software engineering practices

Educación

BS in Computer Science / related field

Herramientas

Google Cloud Platform (GCP)

Azure Data Factory

Databricks

BigQuery

Delta Lake

Descripción del empleo

Chevron Global Business Services (GBS) in Buenos Aires is seeking a Data Engineer to design, develop, and deploy scalable data pipelines and agentic workflows. The role focuses on Databricks and PySpark, with strong emphasis on SQL, GCP BigQuery, and Delta Lake within modern data lake architectures.

The successful candidate will collaborate with IT teams to enable data accessibility, support analytics, and productionize data solutions for global business services.