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 modeling, ETL processes, and data warehousing concepts.
Experience with programming languages such as Python or Scala.
Familiarity with big data technologies and frameworks.
Excellent problem-solving and analytical skills.

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.