Description

ETL, Data Warehousing, Azure Cloud Technologies, Datastage

Design, implement, and manage Azure cloud solutions for various projects.
• Develop and maintain data pipelines using Databricks (PySpark) for data ingestion, processing, and analysis.
• Configure and manage Azure Data Factory (ADF) to orchestrate data workflows and ETL processes.
• Implement and optimize Azure Data Lake Storage (ADLS) for efficient data storage and retrieval.
• Collaborate with cross-functional teams to design and implement data warehouse solutions.
• Utilize Git for version control and collaboration on codebase.
• Monitor, troubleshoot, and optimize data processes for performance and reliability.
• Implement security best practices and manage access controls using Azure Active Directory (AAD).
• Document technical designs, processes, and procedures.
• Stay updated with the latest Azure cloud technologies and best practices.
 

Key Skills
Education

Any Graduate

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