Description

You will design and manage data pipelines within an Azure cloud environment, owning the ETL architecture and data processing logic.

This role is on-site.

Responsibilities

• Design and implement ETL processes using Azure Data Factory (ADF) and SSIS.
• Develop data processing logic using Databricks and the Spark framework.
• Build and maintain data warehouse architectures using star schema or data vault methodologies.
• Write clean, efficient code in SQL and Python or Scala.
• Document technical workflows and communicate findings through professional emails and presentations.

Required Skills

• 5 to 8 years of experience in data engineering.
• Hands-on experience with Azure Data Factory (ADF).
• Proficiency in SQL and Python or Scala.
• Working knowledge of Databricks and Spark frameworks.
• Experience with SSIS and ETL design patterns.
• Practical understanding of Azure cloud platforms.
• Knowledge of data warehousing, including star schema or data vault.

Key Skills

Education

Not specified