Cloud Data Engineer

We are seeking an experienced Cloud Data Engineer to join our team. In this role, you will develop and manage cloud-based data solutions using Azure and Databricks.

Responsibilities:

• Build and maintain data pipelines on Azure with Databricks.
• Integrate, transform, and analyze data to support business needs.
• Collaborate with teams to deliver data solutions.
• Ensure high-quality, reliable data solutions.

Technologies:

• Databricks, Databricks SQL, Python, PySpark, T-SQL
• Azure DevOps, Azure Synapse, Power BI
• Experience with SSIS and Azure Data Factory a plus.

Requirements:

• 3 years of experience with Azure.
• Strong knowledge of ETL, data warehousing, and data architecture.
• Good communication skills.
• Passion for technology and continuous learning.

Apply now to join our team!

We are seeking an experienced Cloud Data Engineer to join our team. In this role, you will develop and manage cloud-based data solutions using Azure and Databricks.

Responsibilities:

• Build and maintain data pipelines on Azure with Databricks.
• Integrate, transform, and analyze data to support business needs.
• Collaborate with teams to deliver data solutions.
• Ensure high-quality, reliable data solutions.

Technologies:

• Databricks, Databricks SQL, Python, PySpark, T-SQL
• Azure DevOps, Azure Synapse, Power BI
• Experience with SSIS and Azure Data Factory a plus.

Requirements:

• 3 years of experience with Azure.
• Strong knowledge of ETL, data warehousing, and data architecture.
• Good communication skills.
• Passion for technology and continuous learning.

Apply now to join our team!

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.