- Strong hands-on experience in Databricks, including data pipeline development, data transformation, and ETL processes.
- Expertise inCloud Platforms such as AWS, Azure, or GCP.
- Proficient inPython 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 workplace.
Your Profile
- 6-9 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 have the 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 of4.0/5
- This is especially valuable in legacy systems where skilled professionals are in demand.