The Databricks Data Engineer will design, build, and maintain scalable data pipelines using Apache Spark and Databricks; implement ETL/ELT processes; develop data models and data marts; collaborate with data scientists, analysts, and engineers on machine learning models and data products; and optimize data-processing performance while troubleshooting workflow issues.
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Organizations use it to build BI and AI applications, stream and analyze data, and process daily operations; the platform also supports business users seeking insights from enterprise data using natural language. More than 20,000 customers across the globe use Databricks, and over 60% of the Fortune 500 uses it.
Who they serve
Databricks’ Genie enables business users to get insights from enterprise data using natural language.