Azure Data Engineer

This role focuses on designing, building, and maintaining robust data pipelines and solutions within the Azure cloud environment. The Azure Data Engineer will be responsible for ensuring data quality, performance, and scalability to support business intelligence and analytics initiatives.

Key Responsibilities:

Develop and maintain data pipelines using Azure Data Factory, Azure Databricks, and other relevant Azure services.
Design and implement data models and schemas optimized for performance and scalability.
Monitor and troubleshoot data pipeline issues, ensuring data integrity and availability.
Collaborate with data scientists and business analysts to understand data requirements and deliver effective solutions.
Implement data governance and security best practices.

Requirements/Qualifications:

Strong experience with Azure cloud services, particularly data-related services.
Proficiency in data warehousing concepts and techniques.
Experience with ETL processes and tools.
Solid understanding of data modeling and database design.
Excellent problem-solving and analytical skills.
Experience with scripting languages such as Python or Scala.

About the Company: Capgemini is a global leader in technology services and digital transformation. They help organizations navigate their digital journeys and achieve their business objectives through innovative solutions and expertise.