Azure databricks admin

Design, develop, and maintain data pipelines using Azure Databricks
Implement ETL/ELT workflows to process large-scale structured and unstructured data
Optimize Spark jobs for performance, scalability, and cost
Work with Azure Data Lake Storage (ADLS Gen2), Azure Blob Storage, and Azure SQL
Develop and manage Databricks notebooks using PySpark / Scala / SQL
Integrate Databricks with Azure services such as:
Azure Data Factory
Azure Synapse Analytics
Azure Key Vault
Implement data quality, validation, and monitoring frameworks

Strong hands-on experience with Azure Databricks
Proficient in Apache Spark (PySpark/Scala)
Experience with Azure Data Lake (ADLS Gen2) and cloud storage
Strong SQL skills and experience with large datasets
Experience with Azure Data Factory (ADF) for orchestration
Knowledge of data modeling, partitioning, and performance tuning
Experience working with big data frameworks

We are looking for a skilled Azure Databricks Engineer with 5design, develop, and optimize scalable data processing solutions on the Azure cloud. The candidate will work closely with data engineers, data scientists, and business teams to build robust data pipelines and analytics platforms using Azure Databricks and Azure Data Services.