Data Engineer: Databricks & AI Pipelines (Remote/Flex)

Agileengine; Buenos Aires; Presencial; ARS 136.828.000 - 197.640.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive USD-based compensation

Exciting projects with Fortune 500/top

Descripción de la vacante

AgileEngine is seeking a Data Engineer with strong Databricks and GCP experience to design scalable ETL/ELT pipelines and productionize agentic workflows for data engineering automation.

You will design and optimize data pipelines using Databricks, PySpark, and SQL, integrate with Delta Lake environments, and build reusable components for multiple data use cases. Join a people-first culture with Fortune 500 clients.

Formación

• 5+ years hands-on Databricks and PySpark experience.
• Advanced SQL and data-processing skills required.
• Hands-on GCP experience, esp. BigQuery.
• Experience with Delta Lake and data lake architectures.
• Strong ETL/ELT design, performance optimization, and data quality.
• Production-grade data solutions, testing, and monitoring.

Responsabilidades

• Design, develop, and optimize scalable ETL/ELT data pipelines using Databricks, PySpark, and SQL.
• Build and operationalize agentic workflows to automate data engineering and operational processes.
• Integrate agentic capabilities with Databricks, GCP, BigQuery, and Delta Lake environments.
• Develop data pipelines and processing solutions for new business requirements and datasets.
• Build reusable frameworks and components across data engineering use cases.
• Implement data quality checks, monitoring, validation, and production controls.
• Optimize PySpark and SQL workloads for performance 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 automation opportunities.

Conocimientos

Databricks

PySpark

Advanced SQL

GCP BigQuery

Delta Lake

ETL/ELT design

Data quality

Troubleshooting

Software engineering practices

Production deployment

Herramientas

Databricks

BigQuery

Delta Lake

GCP

Descripción del empleo

AgileEngine is seeking a Data Engineer with strong Databricks and GCP experience to design scalable ETL/ELT pipelines and productionize agentic workflows for data engineering automation.

You will design and optimize data pipelines using Databricks, PySpark, and SQL, integrate with Delta Lake environments, and build reusable components for multiple data use cases. Join a people-first culture with Fortune 500 clients.