Data Engineer (Databricks/GCP) — Flextime & Scalable ETL

Agileengine; Medellín; Híbrido; COP 198.518.000 - 297.777.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive compensation (USD)

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, build, and optimize pipelines with Databricks, PySpark, and SQL; integrate with BigQuery and Delta Lake; implement data quality checks and production controls; and collaborate with cross‑functional teams to drive automation across datasets.

Formación

• 5+ years of hands-on experience with Databricks and PySpark.
• Advanced SQL and data-processing skills.
• Experience with GCP, especially BigQuery.
• Experience with Delta Lake and lakehouse architectures.
• Strong ETL/ELT design, data pipeline design, and data quality expertise.
• 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 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 for data engineering and business use cases.
• Implement data quality checks, monitoring, validation, and production controls.
• Optimize PySpark and SQL workloads for performance and reliability.
• 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 pipelines

Troubleshooting

Software engineering

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, build, and optimize pipelines with Databricks, PySpark, and SQL; integrate with BigQuery and Delta Lake; implement data quality checks and production controls; and collaborate with cross‑functional teams to drive automation across datasets.