Senior Data Engineer: Databricks, GCP & Scalable Pipelines

AgileEngine, LLC.; Perímetro Urbano Barranquilla; Presencial; COP 404.013.000 - 606.020.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive USD-based compensation

A selection of exciting projects

Flextime

Descripción de la vacante

AgileEngine 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 and optimize pipelines using Databricks, PySpark, and SQL; integrate with BigQuery and Delta Lake; build reusable components; and ensure data quality, monitoring, and production readiness across multiple teams.

Formación

• 5+ years hands-on Databricks and PySpark experience.
• Advanced SQL and data-processing skills.
• GCP experience, esp. BigQuery.
• Delta Lake and lakehouse architectures.
• ETL/ELT design, performance optimization, data quality.
• Reliable, scalable production data solutions.
• Strong analytical and troubleshooting skills.
• Software engineering practices: testing, version control, deployment, monitoring.

Responsabilidades

• Design, develop, and optimize scalable ETL/ELT pipelines using Databricks, PySpark, and SQL.
• Build and operationalize agentic workflows to automate data engineering and processes.
• Integrate agentic capabilities with Databricks, GCP, BigQuery, and Delta Lake.
• Develop data pipelines to support 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.
• Troubleshoot complex data and production issues with sustainable solutions.
• Collaborate with teams to identify further automation opportunities.

Conocimientos

Databricks

PySpark

SQL

GCP BigQuery

Delta Lake

ETL/ELT design

Data quality

Production-grade data

Troubleshooting

Software engineering practices

Descripción del empleo

AgileEngine 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 and optimize pipelines using Databricks, PySpark, and SQL; integrate with BigQuery and Delta Lake; build reusable components; and ensure data quality, monitoring, and production readiness across multiple teams.