Description

You will design, implement, and manage Azure cloud solutions and data pipelines.

Responsibilities

• Develop and maintain data pipelines using Databricks (PySpark) for 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 storage and retrieval.
• Collaborate with cross-functional teams to design and implement data warehouse solutions.
• Monitor, troubleshoot, and optimize data processes for performance and reliability.

Required Skills

• 5+ years of experience in data analysis or engineering roles.
• Proficiency with ETL processes and Data Warehousing.
• Hands-on experience with Azure Data Factory.
• Experience with Azure Data Lake Storage (ADLS).
• Experience using Databricks and PySpark.
• Working knowledge of Azure Active Directory (AAD).
• Experience with Git for version control.

Key Skills

Education

Any Graduate