Overview We are looking for a Databricks Engineer with strong Python, SQL, and AI parsing/extraction skills to help... migrate an underperforming customer solution to Databricks. Key Responsibilities Migrate existing data pipelines...
de datos de la organización. **Responsabilidades**: 1. Desarrollar y mantener pipelines de datos utilizando Databricks... utilizando Databricks. 2. Conocimientos sólidos de programación en Python para el desarrollo de scripts y automatización...
vision and standards. - Design and maintain scalable data pipelines using Azure Data Factory and Databricks to ingest... two years of recent experience designing scalable data pipelines using Azure Data Factory and Azure Databricks to support...
designing scalable data pipelines using Azure Data Factory and Azure Databricks to support ingestion, transformation...
Databricks: Responsibilities: Own end-to-end development, including coding, testing, debugging, and deployment of data... Databricks on development projects. Deep expertise in Data Warehousing (DWH) concepts and implementation. Proven ability...
in the Databricks Platform will be invaluable as you engage in exciting projects that drive data transformation. We are eager.... HERE'S WHAT YOU WILL NEED: Advanced proficiency in Databricks Platform. Advanced proficiency in Data Engineering. Intermediate proficiency...
searching for a Senior Data Architect (Azure + Databricks): Responsibilities: Lead target architecture design for Lakehouse.../Warehouse environments using Azure ADLS Gen2, Databricks (Spark/Delta), Synapse/Fabric, and ADF. Define ingestion patterns...
Databricks Engineer to design, build, and optimize large-scale data pipelines on Azure using Spark and Databricks. The ideal.... Strong expertise in Spark (PySpark) and Azure Databricks for large-scale distributed data processing. Hands-on experience developing...
Databricks Engineer Key Responsibilities: Data Pipeline Development o Develop and fine-tune data processing... pipelines within Databricks. o Implement performance optimization techniques. Integration with Analytics Teams o Work...
Databricks-based data lake. Today, different teams are using different approaches, creating duplicated pipelines, weak... patterns for data consumption, and propose a simplified future-state architecture (with a strong focus on Azure Databricks...