Senior Data Engineer (Databricks, GCP, ETL)|Flexible Hours

Fullstack; Ciudad de Mendoza; Híbrido; ARS 136.828.000 - 197.640.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flextime

Remote work

Competitive USD compensation

Mentorship programs

Career growth

Descripción de la vacante

AgileEngine is seeking a Data Engineer with strong Databricks and GCP experience to design scalable ETL/ELT pipelines and productionize agentic workflows for data engineering automation.

You will design and optimize pipelines with PySpark, SQL, and Delta Lake, integrating with Databricks and BigQuery while building reusable components and ensuring data quality and reliability, in a hybrid setup with international collaboration.

Formación

• 5+ years of 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.

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 Databricks, GCP, BigQuery, and Delta Lake environments.
• Develop data pipelines and processing solutions to support new business requirements and datasets.
• Build reusable data engineering frameworks and components for multiple use cases.
• Implement data quality checks, monitoring, validation, and production controls.
• Optimize PySpark and SQL workloads for performance and reliability.
• Support testing, deployment, and productionization of data solutions.
• Troubleshoot complex data and production issues and implement sustainable solutions.
• Collaborate with business, data engineering, and platform teams to identify automation opportunities.

Conocimientos

Databricks

PySpark

Advanced SQL

GCP BigQuery

Delta Lake

ETL/ELT design

Data quality checks

English

Descripción del empleo

AgileEngine is seeking a Data Engineer with strong Databricks and GCP experience to design scalable ETL/ELT pipelines and productionize agentic workflows for data engineering automation.

You will design and optimize pipelines with PySpark, SQL, and Delta Lake, integrating with Databricks and BigQuery while building reusable components and ensuring data quality and reliability, in a hybrid setup with international collaboration.