Senior Data Engineer: Databricks, GCP & AI Pipelines

AgileEngine, LLC.; Monterrey; Presencial; MXN 900.000 - 1.300.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive compensation

A selection of exciting projects

Flextime

Descripción de la vacante

AgileEngine, LLC. in Monterrey, Mexico, 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, develop, and optimize pipelines with Databricks, PySpark, and SQL; integrate with BigQuery and Delta Lake; build reusable components; implement data quality checks and production controls; collaborate across teams.

Formación

• 5+ years of hands-on Databricks and PySpark experience.
• Advanced SQL and data-processing skills.
• Hands-on GCP experience, especially BigQuery.
• Experience with Delta Lake and modern lakehouse architectures.
• Strong ETL/ELT, data pipeline design, performance optimization, and data quality.
• Experience building reliable, production-grade data solutions.
• Strong analytical and troubleshooting skills.
• Understanding of software engineering practices like 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.
• 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

ETL/ELT design

Herramientas

GCP

BigQuery

Delta Lake

Descripción del empleo

AgileEngine, LLC. in Monterrey, Mexico, 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, develop, and optimize pipelines with Databricks, PySpark, and SQL; integrate with BigQuery and Delta Lake; build reusable components; implement data quality checks and production controls; collaborate across teams.