12 days ago
Lyon, FranceStaff+
Responsibilities
- Participate in design workshops and develop client data architectures.
- Contribute to data extraction strategies.
- Develop and optimize data ingestion pipelines.
- Coordinate developer activities and provide technical leadership.
- Ensure code quality and propose architectural improvements.
- Support continuous improvement and monitor performance indicators.
- Technically mentor development teams and contribute to their skills growth.
Requirements
- At least 6 years of professional experience, excluding internships and work-study programs.
- Several years of experience with Big Data technologies and projects.
- Strong proficiency in Spark, Scala, and its ecosystem, including Hadoop, HDFS, MapReduce, Hive, and Kafka.
- Prior technical supervision of development teams is preferred.
Benefits
- Work on varied and innovative projects across renewable energy, transportation, artificial intelligence, and data.
- Access continuous learning resources, including GenAI Campus, technical certifications, and training platforms.
- Participate in industry conferences and partner events involving AWS, Snowflake, and SAP.
- Join an inclusive, multicultural, and disability-friendly workplace focused on talent development, diversity, solidarity initiatives, and environmental responsibility.
Tech Stack
Categories
Data Engineering
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.