Senior Azure Data Engineer

Responsibilities

• Design, develop, and maintain scalable data infrastructure and systems
• Build and maintain data pipelines to ingest data while ensuring quality and integrity
• Design and implement data models and database schemas to support business objectives
• Manage and optimize distributed systems and data storage solutions
• Partner with cross-functional teams to identify and prioritize data requirements and use cases
• Develop and maintain best practices and standards for data engineering within the organization

Requirements

• 6-9 years of experience in data engineering
• Proficiency with Azure, Azure Data Factory (ADF), and Azure Data Lake Storage Gen2 (ADLS2)
• Strong expertise in Databricks, Python, and PySpark
• Experience with DevOps practices
• Familiarity with frameworks such as AI factory, Ultimate, or Pygentic

About the Company

Fractal aims to power every human decision in the enterprise. We combine expertise in artificial intelligence, design, engineering, and digital transformation to create cutting-edge solutions for global leaders, helping them navigate their end-to-end data-to-decision journey.