Databricks Engineer

• Design, develop, and optimize data pipelines using Databricks, Apache Spark, and cloud-based technologies.
• Build scalable ETL/ELT processes to ingest, transform, and process large volumes of structured and unstructured data.
• Collaborate with data engineers, analysts, and business stakeholders to understand data requirements.
• Implement data quality checks, monitoring solutions, and performance optimization techniques.
• Manage Databricks workspaces, notebooks, clusters, and job scheduling for efficient data processing.
• Ensure compliance with data governance, security, and industry best practices.
• Support troubleshooting, deployment, and maintenance of enterprise data solutions.

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