Data Engineer

Join Capgemini and help leading organizations unlock the power of technology to build a more sustainable and inclusive world. As a Pyspark Developer, you will be instrumental in designing and implementing robust, data-driven solutions that support our business operations. This role requires strong programming expertise in Pyspark/Python and a passion for scalable, clean code. Experience with Scala is highly desirable for tackling complex data engineering challenges.

Key Responsibilities:

• Design and implement CI/CD pipelines and build management strategies.
• Develop and maintain SQL queries, analytical functions, and data models.
• Contribute to critical business, architectural, and technical decisions.
• Collaborate with cross-functional teams to understand and address business and technical needs.
• Leverage experience with cloud platforms such as AWS, Azure, or GCP.

Your Profile:

• Minimum 6+ years of experience in Pyspark development.
• Strong programming background in Pyspark/Python.
• Additional experience in Scala is preferred.
• Proficiency in SQL and SQL Analytical functions.

What you will love about working here:

• Shape your career with diverse paths and internal opportunities within the Capgemini group, supported by personalized career guidance.
• Comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage, and flexible work options for new parents.
• Access to one of the industry's largest digital learning platforms with over 250,000 courses and numerous certifications.