Data Engineer – Databricks & GCP Pipelines (Flexible)

Agileengine; Xico; Presencial; MXN 1.636.000 - 2.364.000; 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 in Veracruz to design and optimize scalable ETL/ELT pipelines using Databricks, PySpark, and SQL, while productionizing agentic workflows and integrating with GCP services like BigQuery and Delta Lake.

You will build reusable data engineering components, implement data quality checks, and collaborate with cross-functional teams to deliver reliable, high-performance data solutions for complex business use cases.

Formación

• 5+ years hands-on Databricks and PySpark experience.
• Advanced SQL and data-processing skills.
• Hands-on experience with GCP, particularly 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.
• Upper-intermediate English level.

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

SQL

GCP

BigQuery

Delta Lake

ETL/ELT design

Data quality

Production-grade data

Troubleshooting

Descripción del empleo

AgileEngine is seeking a Data Engineer in Veracruz to design and optimize scalable ETL/ELT pipelines using Databricks, PySpark, and SQL, while productionizing agentic workflows and integrating with GCP services like BigQuery and Delta Lake.

You will build reusable data engineering components, implement data quality checks, and collaborate with cross-functional teams to deliver reliable, high-performance data solutions for complex business use cases.