Azure Data Engineer

Your Role

• Design and implement data pipelines and ETL workflows using Azure Data Factory, Databricks, and related tools.
• Optimize data storage and retrieval for performance and cost efficiency.
• Collaborate with data scientists, analysts, and business stakeholders to deliver high-quality data solutions.
• Ensure data security, compliance, and governance across all platforms.
• Monitor and troubleshoot data workflows to ensure reliability and accuracy.
• Work in Agile/Scrum teams, participate in sprint planning, and collaborate with cross-functional teams.

Your Profile

• Azure Data Factory
• Azure Databricks
• Azure Blob Storage
• Expertise in SQL, Python, and Spark.
• Experience with data modeling, data warehousing, and big data technologies.
• Familiarity with CI/CD, DevOps practices, and Git.
• Strong analytical and problem-solving abilities.
• Excellent communication skills for technical and non-technical stakeholders.
• Ability to work independently and mentor junior developers.

What you’ll love

• Empowered Careers with Purpose: Work on meaningful projects that use technology to solve real-world challenges.
• Growth and Learning at Every Step: Access continuous learning through internal academies, certifications and mentorship.
• Own your growth: Open access to digital learning platforms.

About Capgemini

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. The company has nearly 60 years of heritage, over 420,000 team members in more than 50 countries, and provides services across strategy, technology, design, engineering, and business operations.

Job Description

Data engineers are responsible for building reliable and scalable data infrastructure that enables organizations to derive meaningful insights, make data-driven decisions, and unlock the value of their data assets.

Job Description - Grade Specific

The primary focus is to help organizations design, develop, and optimize their data infrastructure and systems. They help organizations enhance data processes and leverage data effectively to drive business outcomes.