Data Engineer: Databricks & GCP Pipelines, Flexible Hours

AgileEngine, LLC.; San Miguel de Tucumán; Híbrido; ARS 182.877.000 - 274.315.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive compensation

A selection of exciting projects

Flextime

Descripción de la vacante

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

You will design, implement, and optimize data pipelines with Databricks, PySpark, and SQL; integrate with BigQuery and Delta Lake; and collaborate across teams to deliver reliable, scalable data solutions.

Formación

• 5+ years hands-on experience with Databricks and PySpark.
• Strong SQL and data-processing skills.
• Hands-on experience with GCP, particularly BigQuery.
• Experience with Delta Lake and modern data lake architectures.
• 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.
• Knowledge of testing, version control, deployment, monitoring, and production support.

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 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 that can be leveraged across multiple data engineering and business 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 design

Data quality

Production-grade data solutions

Troubleshooting

Herramientas

Databricks

PySpark

BigQuery

Delta Lake

Descripción del empleo

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

You will design, implement, and optimize data pipelines with Databricks, PySpark, and SQL; integrate with BigQuery and Delta Lake; and collaborate across teams to deliver reliable, scalable data solutions.