Description

You will design and manage data solutions on Microsoft Azure, ensuring efficient data flow and analytics capabilities.

Responsibilities

• Build and maintain scalable data pipelines using Azure Databricks and PySpark.
• Implement and optimize data models within Azure Fabric and Data Lake environments.
• Develop SQL Cube structures for reporting and semantic modeling.
• Write efficient Python code for data transformation and processing tasks.

Required Skills

• Strong proficiency in Azure Databricks and PySpark/Spark.
• Hands-on experience with Azure Data Lake and Azure Fabric.
• Expertise in Python programming for data engineering tasks.
• Solid understanding of SQL and SQL Cube implementation.
• Ability to work in PST time zones.
• Minimum 5+ years of experience in data engineering roles.

Key Skills

Education

Any Graduate