Description

Job Description:    
1.      5+ years of experience on – PySpark and Databricks
2.      Monitor and troubleshoot PySpark-based data pipelines within Databricks environments.
3.      Debug and optimize ETL workflows for performance and reliability.
4.      Manage Databricks jobs, clusters, and workspace configurations.
5.      Collaborate with teams to resolve data issues and ensure pipeline stability.
6.      Work with Azure services (Data Lake, Blob Storage) & DevOps for integrated data operations

Key Skills

Education

Any Graduate