Design and implement data pipelines using Databricks.

Work with multiple data sources, including structured and unstructured data.

Integrate Databricks with other tools and services (e.g., Azure, AWS, Tableau, and various databases).

Manage data storage and lifecycle across Databricks workspaces.

Diagnose and resolve issues within Databricks environments and workflows.

Maintain clear documentation of data pipelines, processes, and workflows for internal use and compliance.

Professional experience using data analytics solutions based on Databricks.

Knowledge of at least one of the following data integration services: Azure Data Factory, AWS Glue, Google DataPrep

Strong foundation in data engineering concepts, prof...