Data Engineer (Databricks & GCP) - Flextime & Remote

AgileEngine, LLC.; Pereira; Presencial; COP 90.000.000 - 150.000.000; 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 Pereira is seeking a Data Engineer with strong Databricks and GCP experience to develop scalable ETL/ELT pipelines and productionize agentic workflows for data automation.

The role focuses on designing and optimizing data pipelines, building reusable components, enforcing data quality, and collaborating across teams to enable data-driven decisions. This is a full-time on-site role with opportunities for growth.

Formación

• 5+ years of hands-on Databricks and PySpark experience.
• Advanced SQL and data-processing skills.
• GCP experience, especially 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 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

SQL

BigQuery

Delta Lake

ETL/ELT design

Data quality

Troubleshooting

Production-grade pipelines

Herramientas

Databricks

BigQuery

Delta Lake

Descripción del empleo

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

The role focuses on designing and optimizing data pipelines, building reusable components, enforcing data quality, and collaborating across teams to enable data-driven decisions. This is a full-time on-site role with opportunities for growth.