Data Engineer — Databricks, GCP, AI-Driven ETL Pipelines

Agileengine; Puebla de Zaragoza; Presencial; MXN 1.636.000 - 2.727.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive USD-based compensation

Exciting projects

Flextime

Descripción de la vacante

AgileEngine is seeking a Data Engineer with strong Databricks and GCP experience to design and productionize scalable ETL/ELT pipelines. You will work across data platforms to automate data workflows and support evolving business needs.

You will collaborate with data, platform, and business teams to implement quality checks, optimize workloads, and deliver reliable data solutions for Fortune 500 clients.

Formación

• 5+ years hands-on with Databricks and PySpark.
• Strong SQL and data-processing skills.
• GCP, BigQuery experience.
• Delta Lake and lakehouse architectures.
• ETL/ELT design, data quality, and monitoring.

Responsabilidades

• Design and optimize scalable ETL/ELT data pipelines using Databricks, PySpark, and SQL.
• Build and operationalize agentic workflows to automate data engineering processes.
• Integrate with Databricks, GCP, BigQuery, and Delta Lake environments.
• Develop data pipelines to support new datasets and requirements.
• Create reusable data engineering frameworks and components.
• Implement data quality checks, monitoring, and production controls.
• Tune PySpark and SQL workloads for performance and reliability.
• Support testing, deployment, and productionization of data solutions.
• Troubleshoot complex data issues and provide sustainable fixes.
• Collaborate with business, data engineering, and platform teams on automation opportunities.

Conocimientos

Databricks PySpark

Advanced SQL

GCP BigQuery

Delta Lake

ETL/ELT design

Data pipeline design

Troubleshooting

Production-grade data

Descripción del empleo

AgileEngine is seeking a Data Engineer with strong Databricks and GCP experience to design and productionize scalable ETL/ELT pipelines. You will work across data platforms to automate data workflows and support evolving business needs.

You will collaborate with data, platform, and business teams to implement quality checks, optimize workloads, and deliver reliable data solutions for Fortune 500 clients.