Data Engineer - Databricks & GCP | Flextime
AgileEngine, LLC.
Una candidatura hecha para este puesto de trabajo — un currículum y una carta de presentación adaptados que responden directamente a la oferta.
Ventajas ofrecidas por este puesto de trabajo
Descripción de la vacante
AgileEngine 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 and optimize pipelines using Databricks, PySpark, and SQL, while integrating with BigQuery/Delta Lake environments.
Join a people-first culture that values innovative data solutions, reliability, and collaboration across business and platform teams to drive automation and scalable data platforms
Formación
- Databricks and PySpark hands-on experience (5+ years).
- Advanced SQL and data-processing skills.
- GCP experience, notably BigQuery.
- Delta Lake and modern data lake/lakehouse architectures knowledge.
- Strong ETL/ELT design, performance optimization and data quality focus.
- Production-grade data solutions with reliability and scale.
- Analytical and troubleshooting skills; familiarity with testing, version control and deployment.
Responsabilidades
- Design, develop, and optimize scalable ETL/ELT pipelines using Databricks, PySpark and SQL.
- Operationalize agentic workflows to automate data engineering and related processes.
- Integrate Databricks, GCP, BigQuery and Delta Lake environments with new data sources.
- Develop pipelines and processing solutions to support new datasets and business requirements.
- Build reusable frameworks and components across multiple data engineering use cases.
- Implement data quality checks, monitoring, validation 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 automation opportunities.
Descripción del empleo
AgileEngine 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 and optimize pipelines using Databricks, PySpark, and SQL, while integrating with BigQuery/Delta Lake environments.
Join a people-first culture that values innovative data solutions, reliability, and collaboration across business and platform teams to drive automation and scalable data platforms
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