Senior Data & AI Engineer - Data Engineer Capgemini
- Philadelphia, PA, United States
- Full-time
- Hybrid
- No Salary Information Available
Capgemini is a global leader in engineering and R&D services, focused on integrating digital and software technologies to foster the convergence of physical and digital worlds. Their team supports clients in advancing towards Intelligent Industry through comprehensive end-to-end technology solutions. With a strong global presence, Capgemini is committed to fostering an inclusive and sustainable future.
In this role you can expect to have the responsibilities:
- Develop scalable data platforms for effective data management.
- Build cloud-native data systems for self-service analytics and real-time processing.
- Design data models to meet evolving business requirements.
- Create and optimize ETL workflows and data pipelines.
- Implement real-time data streaming with Kafka or Apache Beam.
- Deploy machine learning pipelines with MLOps practices.
- Collaborate in Agile/DevOps teams for data-driven solutions.
This role comes with the following benefits:
- Flexible work arrangements
- Comprehensive healthcare plans
- Financial programs, including 401(k) and profit-sharing
- Paid time off and holidays
- Parental leave
- Family building benefits
- Support for social well-being
- Mentoring and learning programs
- Employee Resource Groups
- Disaster relief support
This role requires you to have:
- 5+ years of experience in large-scale data processing.
- Proficiency in SQL for data analytics and optimization.
- Expertise in programming languages like Python, Java, or Scala.
- Experience with distributed computing frameworks.
- Cloud-based data engineering experience with AWS, GCP, or Azure.
- Knowledge of data modeling and data governance.
- Familiarity with CI/CD tools such as Jenkins and Terraform.
You would benefit from having:
- Real-time data streaming experience with Kafka.
- Understanding of MLOps and its integration with data engineering.
- Experience with business intelligence tools and visualization platforms.
- Background in retail and production of consumer goods.
Capgemini is dedicated to diversity and equal opportunity. They provide reasonable accommodations to ensure equal employment opportunities for individuals with disabilities and are committed to a bias-free recruitment process.
The content on this page is not written or managed by Alooba. Please reach out to Capgemini directly for any addtional information regarding this role.
