Job
Description
As a Data Engineer at Capgemini, you will have the opportunity to design, build, and optimize modern data solutions using your expertise in SQL, Spark SQL, Databricks, Unity Catalog, and PySpark. With a focus on data warehousing concepts and best practices, you will contribute to the development of scalable and high-performance data platforms. You will bring 4-10 years of experience in Data Engineering/ETL Development, showcasing your strong skills in SQL, Spark SQL, and Databricks on Azure or AWS. Your proficiency in PySpark for data processing and knowledge of Unity Catalog for data governance will be key in ensuring the success of data solutions. Additionally, your understanding of data warehousing principles, dimensional modeling, and familiarity with Azure Data Services or AWS Data Services will be advantageous. Your role will involve collaborating with teams globally, demonstrating strong customer orientation, decision-making, problem-solving, communication, and presentation skills. You will have the opportunity to shape compelling solutions, interact with multicultural teams, and exhibit leadership qualities to achieve common goals through collaboration. Capgemini, a global business and technology transformation partner, values diversity and innovation in a sustainable world. With a legacy of over 55 years, Capgemini is known for delivering end-to-end services and solutions in AI, cloud, data, and more. Join us in unlocking the value of technology and contributing to a more inclusive world.,