Data Engineer: Databricks, PySpark & GCP Automation
AgileEngine, LLC.
Transforma esta oferta en una entrevista — un currículum y una carta de presentación creados pensando en lo que quiere el empleador.
Ventajas ofrecidas por este puesto de trabajo
Descripción de la vacante
AgileEngine, LLC. 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 data pipelines using Databricks, PySpark, and SQL; integrate with BigQuery and Delta Lake; and collaborate across teams to drive data quality and scalable solutions.
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 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.
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.
- Build reusable frameworks and components for data engineering 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
Herramientas
Descripción del empleo
AgileEngine, LLC. 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 data pipelines using Databricks, PySpark, and SQL; integrate with BigQuery and Delta Lake; and collaborate across teams to drive data quality and scalable solutions.
'/%3e%3cpath%20d='M101.744%2012.4726L102.894%2016.1947L99.0021%2013.2201L101.744%2012.4726ZM105.3%208.40937H100.488L99.0026%203.59473L97.5116%208.41047L92.7%208.40385L96.5965%2011.3834L95.1055%2016.1942L99.0021%2013.2196L101.408%2011.3834L105.3%208.40992V8.40937Z'%20fill='white'/%3e%3cdefs%3e%3clinearGradient%20id='paint0_linear_5593_1381'%20x1='90'%20y1='9.44471'%20x2='99'%20y2='9.44471'%20gradientUnits='userSpaceOnUse'%3e%3cstop%20stop-color='%2300AD70'/%3e%3cstop%20offset='0.998594'%20stop-color='%2300B67A'/%3e%3cstop%20offset='1'%20stop-color='%23DCDCE6'/%3e%3c/linearGradient%3e%3c/defs%3e%3c/svg%3e){kind=small}
