Senior Data Engineer

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, supported by a collaborative community of colleagues around the world. Join us to help the world’s leading organizations unlock the value of technology and build a more sustainable, inclusive world.

Your Role:

• Design and implement scalable data architectures and processing systems for healthcare data.
• Develop data pipelines to support the extraction, transformation, and loading (ETL) of large-scale healthcare datasets.
• Collaborate with data scientists to ensure data pipelines meet machine learning model requirements.
• Ensure data integrity, quality, and compliance with healthcare data privacy standards (e.g., HIPAA).

Your Skills and Experience:

• Bachelor’s degree in computer science or a related field.
• Proficiency in data engineering technologies like Apache Spark, Hadoop, and Kafka applicable to healthcare data.
• Strong programming skills in SQL and Python, with experience in healthcare data formats (e.g., HL7, FHIR).
• Experience with cloud data platforms (e.g., Azure, AWS) for healthcare applications.
• Knowledge of healthcare data modeling and regulatory compliance.
• Proven success in building and maintaining large-scale, secure healthcare data systems.
• Experience managing data compliance within the healthcare industry.

Language Requirements:
No specific language requirements mentioned.

Consider joining Capgemini to build a better future by leveraging technology to drive innovation and growth for our clients while developing your skills and career.