Capgemini—Data Bricks

Job description

Description: Your RoleStrong hands-on experience in Databricks, including data pipeline development, data transformation, and ETL processes.Expertise in Cloud Platforms such as AWS, Azure, or GCP.Proficient in Python programming with strong knowledge of libraries such as Pandas and NumPy.Experience in designing, building, and optimizing scalable data solutions.Strong analytical and problem-solving skills with the ability to work in a fast-paced environment.Your Profile6-9 years of overall IT experience in Data Engineering and Analytics.Hands-on experience with Databricks and cloud-based data platforms.Strong coding proficiency in Python.Ability to collaborate effectively with cross-functional teams.What will you love working at Capgemini You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work.You will have the opportunity to learn on one of the industry's largest digital learning platforms, with access to 250,000+ courses and numerous certifications.Mainframe roles at Capgemini are rated highly for job stability, with a score of 4.0/5 This is especially valuable in legacy systems where skilled professionals are in demand.